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1
Gao, Zhan, Qing Bo Zhu, and Chun Mei Wei. "Complex Wireless Sensor Network Routing Strategy for Information Rapid Transmission." Advanced Materials Research 1037 (October 2014): 201–4. http://dx.doi.org/10.4028/www.scientific.net/amr.1037.201.
Повний текст джерелаАнотація:
For wireless sensor networks for energy requirements are very high and limited node energy characteristics of wireless sensor networks to improve information transfer for the purpose of quick study proposes a wireless sensor network nodes spread weighted routing strategy. The simulation result were weighted node degree technical analysis, analysis of the advantages from the principle of routing policy change, thereby effectively increasing the network lifetime and improve the data transfer rate and reduce the transmission delay, is more suitable for large-scale wireless sensor network.
2
Zhao, Ke, Long Fei Xiao, Ya Long Hu, and Zhong Wang. "Based on the Research of WSN in Information Security Technology." Applied Mechanics and Materials 556-562 (May 2014): 5976–78. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5976.
Повний текст джерелаАнотація:
With the advance of technology, people is more and more nervous to security threats posed by wireless sensor. Therefore, Based on security technology, this paper puts forward a suitable for the safety management unit used in wireless sensor network, And the provisions of its agreement, authentication methods and security processing methods, making wireless sensor networks can transmit user information in a secure environment, while simulation analysis the affect design module on date security transmission, when the wireless sensor networks have security management unit, it will a better, more reliable transmission environments.
3
Hadi, Teeb Hussein. "Types of Attacks in Wireless Communication Networks." Webology 19, no. 1 (January 20, 2022): 718–28. http://dx.doi.org/10.14704/web/v19i1/web19051.
Повний текст джерелаАнотація:
One of the most important types that used to transfer data between nodes without using wires is a “wireless communication network”, where the transmission of data is censored remotely by using electromagnetic waves such as radio waves that usually implemented in the physical layer of the network. Continuous improvements in wireless network technology have reduced the security and speed differences between types of networks (wired and wireless), but in turn, increased security threats to wirelessly transmitted data. Wireless networks are weak in terms of "privacy protection" because anyone who is within the coverage area of a wireless network can attempt to break into that network. Hacking incidents have been reported frequently in places with shared free networks, and it has been observed that the places of open distributed networks of the Internet are most at risk of complete penetration of your phone or PC data. To solve this problem, several programs have been developed that provide protection for wireless networks that differ in terms of security. Some of them did not provide sufficient protection for wireless networks, such as Wired Equivalent Privacy (WEP), and others made progress in preventing intrusions compared to their predecessors, such as Wi-Fi Protected Access (WPA).
4
Sang, Lei, and Duo Long. "A Study on Routing Protocol of Wireless Sensor Network." Applied Mechanics and Materials 341-342 (July 2013): 1116–19. http://dx.doi.org/10.4028/www.scientific.net/amm.341-342.1116.
Повний текст джерелаАнотація:
Wireless sensor network is one of the supporting technologies of the Internet of Things, composed of both communication ability and wireless sensors with limited power, WSN is responsible for sensing information and transmission of stub networks. On the basis of analyzing the reason for generating uncertain information such as information fusion and random load in wireless sensor networks, transmission model is the emphasis of research and design. Besides this, a multiple-path routing protocol with minimum transmission is put forward.
5
Zhao, Yuxin, Shenghong Li, and Jia Hou. "Link Quality Prediction via a Neighborhood-Based Nonnegative Matrix Factorization Model for Wireless Sensor Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/828493.
Повний текст джерелаАнотація:
A core factor to consider when designing wireless sensor networks is the reliable and efficient transmission of massive data from source to destination. In practical situations, data transmission is often disrupted by link interference and interruption resulting in the data losses. Link quality prediction is an important approach to solve this problem. By estimating the link quality based on the past knowledge and information, link quality prediction is essential for routing decisions of future data transmission. Traditional link quality prediction algorithms are simply based on the statistical information of the links in the wireless sensor network. By introducing complex network theory and machine learning techniques, we propose a neighborhood-based nonnegative matrix factorization model to predict link quality in wireless sensor networks. Our model learns latent features of the nodes from the information of past data transmissions combing with local neighborhood structures of the underlying network topology and then estimates the link quality depending on the common latent features of the two nodes between the link. Extensive experiments on both real-world networks and simulation networks demonstrate the effectiveness and efficiency of our proposed model.
6
Kunimoto, Rimpei, and Hiroyuki Hisamatsu. "Energy Efficient and High Dissemination Rate Method Considering Extended Transmission Distances on a Wireless Sensor Network." Journal of Advances in Computer Networks 9, no. 1 (2021): 1–7. http://dx.doi.org/10.18178/jacn.2021.9.1.279.
Повний текст джерелаАнотація:
From the electric power consumed by sensor nodes comprising a wireless sensor network, a very large proportion is used to transmit and receive information wirelessly. Because most sensor nodes are battery-powered, long-term operation requires unnecessary wireless transmission to be minimized. There is currently insufficient research on cases involving increased wireless transmission distance and the accompanying increased power consumption. This paper proposes a new, effective method for information dissemination in situations with increased wireless transmission distances. The proposed method is able to minimize power consumption by not performing transmission if the message is considered already disseminated. Additionally, with increased wireless transmission distance, the number of instances of cancelled message transmission increases, further reducing the transmission and reception loads. Simulations demonstrated that the proposed method is effective at keeping power consumption increases to a minimum while greatly improving information dissemination rates, even in cases with increased transmission distances. Unlike the existing methods, the proposed method can improve dissemination rates without increasing power consumption in sensor networks, making it highly innovative and effective.
7
Jurenoks, Aleksejs, and Leonids Novickis. "Wireless sensor networks lifetime assessment model development." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 3 (June 16, 2015): 121. http://dx.doi.org/10.17770/etr2015vol3.508.
Повний текст джерелаАнотація:
<p class="R-AbstractKeywords"><span lang="EN-US">In the recent years low power computing systems have gained popularity. Networks, which use low power computer systems and transmitted data by using wireless connection are called wireless sensor networks, which main task is to get the information from sensors and transmission network. Nowadays, the most topical researches pertaining to wireless sensor networks are grounded on the new optimization of structure of network transmission protocol, the routing optimization in transmission network, optimization of network structure, as a result of which the life circle of wireless network sensors is possible to increase. In the present article the methodology for determining the life circle of network is discussed. The approaches in detection of life circle pertaining to the important network nodes are described.</span></p>
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Rath, Mamata, Bibudhendu Pati, and Binod Kumar Pattanayak. "Manifold Surveillance Issues in Wireless Network and the Secured Protocol." International Journal of Information Security and Privacy 14, no. 1 (January 2020): 16–26. http://dx.doi.org/10.4018/ijisp.2020010102.
Повний текст джерелаАнотація:
With rapid growth of internet users and frequently emerging communication technology, the issues of using web as a worldwide platform and the requirement to design the smart applications to coordinate, discuss, register, and outline gradually emerges. Information transmission through a wireless network involves the radio signals, the arrangement of information packets, and the network topology. As each segment is correlated to each other, it is very essential to employ security mechanism in these components and real security control must be connected on them. Thus, security plays a critical factor in wireless network. This article highlights security issues in current wireless networks such as mobile ad-hoc network and IoT-supported networks and it also proposes a security-based S-RAID protocol design for security control in cluster based wireless networks. Simulation results show proficiency and better transmission rate of the proposal when it was compared with other similar approaches.
9
Ye, Qian, Meng Wu, and Yu Fei Wang. "A Survey on QoS-Aware Secure Data Transmission in Multimedia Sensor Networks." Applied Mechanics and Materials 511-512 (February 2014): 120–25. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.120.
Повний текст джерелаАнотація:
QoS assurance and information security are important for multimedia data transmission in wireless multimedia sensor networks. First, the status of multimedia sensor networks was introduced. Then research status of QoS assurance and information security of wireless multimedia sensor networks was surveyed, and the related open issues were also analyzed. Finally, the technology routes to solve the open issues were also studied and discussed. We argue that trusted QoS architecture considering various applications with different QoS requirements is important for wireless multimedia sensor networks. And network conditions and protocol layers must be well designed in QoS-aware secure multimedia routing mechanism to satisfy QoS requirements of multiple traffic classes. Technologies of information hiding, multimedia data resolution, and multi-routing can be used for privacy protection in wireless multimedia sensor networks.
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Liang, Xiurong, and You Qian. "Energy Balance Routing Protocol for Wireless Sensor Networks Based on Fuzzy Control Strategy." Wireless Communications and Mobile Computing 2022 (May 27, 2022): 1–12. http://dx.doi.org/10.1155/2022/4597992.
Повний текст джерелаАнотація:
The existing routing protocols for wireless sensor networks were not reasonable in design, which limited their application. Most of the existing studies did not take into account the energy consumption of the network and the balanced use of the energy of sensor nodes, which led to the unsatisfactory application effect of wireless sensor networks in some fields. Therefore, from the perspective of energy balance in wireless sensor networks, this paper proposed a construction method of an energy balance routing protocol in wireless sensor networks based on a fuzzy control strategy. Firstly, based on the analysis of the basic composition of wireless sensor networks and the structure of sensor nodes, this paper expounded the basic process of wireless data transmission and summarized the classification and characteristics of routing protocols in wireless sensor networks from different angles. Secondly, according to the node data transmission characteristics of wireless sensor networks, the energy balance use model of sensor nodes was established, and the design method of the energy balance routing protocol based on fuzzy control strategy was proposed, and the data transmission link was optimized. Finally, through experimental comparative analysis, the results showed that the energy balanced routing protocol proposed in this paper can effectively realize the energy balanced use of the network data transmission process. Compared with other common routing protocols, the wireless sensor network routing protocol proposed in this paper can not only improve the data transmission efficiency and reduce the data redundancy but also save energy consumption and prolong the network running time. The design method of routing protocol proposed in this paper will be conducive to the optimization and application of routing protocol in wireless sensor networks and provide a theoretical basis for the related research of wireless sensor networks.
11
Ben Rhaiem, Olfa, and Lamia Chaari. "Information transmission based on network coding over wireless networks: a survey." Telecommunication Systems 65, no. 4 (November 8, 2016): 551–65. http://dx.doi.org/10.1007/s11235-016-0247-2.
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12
Gong, Ting, and Hui Yan. "A Study on Data Fusion of Wireless Sensor Networks Security." Applied Mechanics and Materials 341-342 (July 2013): 1124–27. http://dx.doi.org/10.4028/www.scientific.net/amm.341-342.1124.
Повний текст джерелаАнотація:
Due to the advantage of data fusion in deleting redundant information and extending lifetime of network, data fusion has become one of the important ways of effectively relieving the bottleneck of wireless sensor networks resources, which has been widely used in wireless sensor networks. Security mechanism of transmission encryption of network is introduced to protect the security of data transmission of network.
13
Tong, Wen, Behnaam Aazhang, Sae-Young Chung, and Petar Popovski. "Wireless cooperative transmission." Journal of Communications and Networks 10, no. 2 (June 2008): 113–17. http://dx.doi.org/10.1109/jcn.2008.6389830.
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14
Ismail, Reem J., Khalid F. Jasim, Samar J. Ismael, and Soma A. M. Solaimanzadeh. "Enhancing Wireless Sensor Networks Routing Protocols based on Cross Layer Interaction." Cihan University-Erbil Scientific Journal 5, no. 2 (November 30, 2021): 52–55. http://dx.doi.org/10.24086/cuesj.v5n2y2021.pp52-55.
Повний текст джерелаАнотація:
Wireless sensor networks aim to develop a smart city based on sensing environment. The routing protocols of wireless sensor networks is important to transfer the data in smart cities since sensor nodes have limited power and transmission range. The aim of this research is to enhance wireless sensor networks routing protocols based on proposed cross-layer interaction between physical layer and network layer also a proposed routing table information of wireless sensor nodes is developed to consider the transmission power of neighbor’s nodes to determine the next hop. Cross-layer interaction provides a useful information and effective adaptation for WSN routing protocols. As a result, the proposed routing protocol shows an improvement in network performance when number of intermediate nodes are minimized.
15
Xu, Xia, Jin Tang, and Hua Xiang. "Data Transmission Reliability Analysis of Wireless Sensor Networks for Social Network Optimization." Journal of Sensors 2022 (January 6, 2022): 1–12. http://dx.doi.org/10.1155/2022/3842722.
Повний текст джерелаАнотація:
With the rapid development of the Internet in recent years, people are using the Internet less and less frequently. People publish and obtain information through various channels on the Internet, and online social networks have become one of the most important channels. Many nodes in social networks and frequent interactions between nodes create great difficulties for privacy protection, and some of the existing studies also have problems such as cumbersome computational steps and low efficiency. In this paper, we take the complex environment of social networks as the research background and focus on the key issues of mobile wireless sensor network reliability from the mobile wireless sensor networks that apply to large-scale, simpler information, and delay tolerance. By introducing intelligent learning methods and swarm intelligence bionic optimization algorithms, we address reliability issues such as mobile wireless sensor network fault prediction methods and topology reliability assessment methods in industrial application environments, the impact of mobile path optimization of mobile wireless sensor networks on data collection efficiency and network reliability, reliable data transmission based on data fusion methods, and intelligent fault tolerance strategies for multipath routing to ensure mobile wireless sensor networks operate energy-efficiently and reliably in complex industrial application environments.
16
Ma, Shi Qiang, and Xiao Gang Qi. "An Adaptive Location Updates and Propagation Scheme for Mobile Sinks." Applied Mechanics and Materials 44-47 (December 2010): 772–76. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.772.
Повний текст джерелаАнотація:
Mobile sink can be used to balance energy consumption of sensor nodes in Wireless Sensor Networks (WSNs). Sink is required to inform sensors about its new location information whenever necessary. However, frequent location updates of mobile sink can lead to both rapid energy consumption of sensor nodes and increased collisions in wireless transmissions. We propose ALUPS (A New Solution with Adaptive Location Update and Propagation Scheme) for mobile sinks to resolve this problem. When a sink moves, it only needs to broadcast its location information within a local adaptive area other than among the entire network. The overhearing feature of wireless transmission is employed when the adaptive location information is transferred. Compared with LURP (Local update-based routing protocol in wireless sensor networks with mobile sinks) and SLPS (Simple Location Propagation Scheme for Mobile Sink in Wireless Sensor Networks), ALUPS performs better both in low energy consumption and success delivery ratio.
17
Draper, Stark C., Lingjia Liu, Andreas F. Molisch, and Jonathan S. Yedidia. "Cooperative Transmission for Wireless Networks Using Mutual-Information Accumulation." IEEE Transactions on Information Theory 57, no. 8 (August 2011): 5151–62. http://dx.doi.org/10.1109/tit.2011.2158477.
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Chandrasekaran, Balaji, Ramadoss Balakrishnan, and Yasuyuki Nogami. "Secure Information Transmission Framework in Wireless Body Area Networks." Journal of Applied Security Research 15, no. 2 (September 30, 2019): 279–87. http://dx.doi.org/10.1080/19361610.2019.1669987.
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19
Liu, Yong, Baohua Liang, and Jiabao Jiang. "Information Processing and Data Management Technology in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 14, no. 09 (September 30, 2018): 66. http://dx.doi.org/10.3991/ijoe.v14i09.8270.
Повний текст джерелаАнотація:
<p>The wireless sensor network is essentially a data-centric network that processes the continuous stream of data, which is collected by different sensors. Therefore, the existing data management technologies regard the wireless sensor network, which is named WSN as a distributed database, and it is composed of continuous data streams from the physical world. Wireless sensor networks are emerging next-generation sensor networks, but their transmission of information is highly dependent. The wireless sensor network processes the continuous stream of data collected by the sensor. Based on the features of wireless sensor networks, this paper presents a topology-dependent model of cluster evolution with fault tolerance. Through the limited data management, resources have reasonably configured, while also saving energy. The model is based on the energy-aware routing protocol in its network layer protocols. The key point is the energy routing principle. According to its own local view, the cluster head node builds the inter-cluster topology to achieve fault-tolerant and energy-saving goals. Simulation results show that the model has good fault tolerance and energy efficiency.</p>
20
Phijik, Battula, and Chakunta Venkata Guru Rao. "Pragmatic Security-Aware Cross-Layer Design for Wireless Networks from Vampire Attacks." Ingénierie des systèmes d information 26, no. 6 (December 27, 2021): 559–67. http://dx.doi.org/10.18280/isi.260606.
Повний текст джерелаАнотація:
Wireless networks rely on ad hoc communication in an emergency, such as a search and rescue or military missions. WLAN, WiMAX, and Bluetooth are often used in Ad Hoc networks. Using a TCP/IP wireless network poses several challenges. Packet loss in 802.11 may be caused by noise or the network. TCP/IP connects non-adjacent layers of the network, resolving cross-layer communication technology for cross-layer communication. It regulates data transmission energy. This structure solves an issue in various ways. It is often used to improve data transfer. Currently, the OSI reference model's layers and functions are not explicitly connected. Only DCL can send multimedia data via wireless networks. The research employs CLD to improve wireless security—invasions of ad hoc networks (MANETs). The research helps secure wireless MANs (MANETs), Vampire Attack Defense (VAP) algorithms. A Secure Cross-Layer Design SCLD-AHN protocol is included. The paper contributes to controlling security attacks in wireless Mobile Ad Hoc Networks (MANET's). In MANETs effectiveness of Vampire Attack Defense (VAP) algorithms is evaluated and analyzed. It also proposes a Secure Cross-Layer Design for the ad hoc networks (SCLD-AHN) protocol.
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Kułacz, Łukasz, Adrian Kliks, Paweł Kryszkiewicz, and Bartosz Bossy. "Dynamic Transmit Profile Selection in Dense Wireless Networks." Sensors 21, no. 1 (December 28, 2020): 134. http://dx.doi.org/10.3390/s21010134.
Повний текст джерелаАнотація:
The development of wireless networks can be characterized by both the increased number of deployed network nodes as well as their greater heterogeneity. As a consequence, the distance between the neighboring nodes decreases significantly, the density of such a wireless network is very high, and it brings to the mind the analogy to the human brain and nervous system, where a highly simplified scheme of information delivery is applied. Motivated by this similarity, in this paper, we study the possibility of the application of various transmission profiles in order to optimize the overall energy consumption in such dense wireless networks. The transmission profile specifies the radio access and energy consumption of the wireless transceiver (network node), and is characterized by the tuple of parameters, e.g., the total transmit power or minimal required signal-to-noise ratio (SNR). In the considered multi-hop network, we assume that each node can be set to the most promising transmission profile to achieve some predefined goals, such as (sensor) network reliability or transmission energy efficiency. We have proposed the new graph-based routing algorithm in such a dense wireless network, where total power consumption of message delivery is minimized by multihop and multimode transmission. The theoretical definition of the prospective transmission schemes is supported by the analysis of the results of the simulation experiments.
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P, Sathish. "ENERGY EFFICIENT ROUTING IN CLUSTERED IOT WIRELESS SENSORS NETWORKS FOR QOS ENHANCEMENTS." Journal of ISMAC 01, no. 01 (June 3, 2019): 1–11. http://dx.doi.org/10.36548/jismac.2019.1.001.
Повний текст джерелаАнотація:
The wireless sensor network that are randomly distributed with ability to communicate and to be communicated wirelessly appears to be vital part in the Internetwork of things to enable an autonomous communication between the visible commodities available in the tangible world. The process of the connection establishment between the WSNs and IOT for the purpose of information transmission is significant as it has to be reliable overcoming the challenges entitled in the wireless sensor networks. So the paper proposes an efficient clustering of WSN with a hierarchical proactive routing to have a transmission that affords within the limited battery availability and extended life of the network to have an improvised successful transmission rate, and diminished delay. The performance evaluation of the proposed system is conducted and compared with the previous methods to prove the energy efficiency and the QOS enhancements in terms of transmission rate and delay.
23
Ma, Lili, Jiangping Liu, and Jidong Luo. "Method of Wireless Sensor Network Data Fusion." International Journal of Online Engineering (iJOE) 13, no. 09 (September 22, 2017): 114. http://dx.doi.org/10.3991/ijoe.v13i09.7589.
Повний текст джерелаАнотація:
<p style="margin: 1em 0px;"><span lang="EN-US"><span style="font-family: 宋体; font-size: medium;">In order to better deal with large data information in computer networks, a large data fusion method based on wireless sensor networks is designed. Based on the analysis of the structure and learning algorithm of RBF neural networks, a heterogeneous RBF neural network information fusion algorithm in wireless sensor networks is presented. The effectiveness of information fusion processing methods is tested by RBF information fusion algorithm. The proposed algorithm is applied to heterogeneous information fusion of cluster heads or sink nodes in wireless sensor networks. The simulation results show the effectiveness of the proposed algorithm. Based on the above finding, it is concluded that the RBF neural network has good real-time performance and small network delay. In addition, this method can reduce the amount of information transmission and the network conflicts and congestion.</span></span></p>
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Zhang, Xue-Fen, and Chang-Chuan Yin. "Energy Harvesting and Information Transmission Protocol in Sensors Networks." Journal of Sensors 2016 (2016): 1–5. http://dx.doi.org/10.1155/2016/9364716.
Повний текст джерелаАнотація:
We focus on the design of transmission protocol for energy harvesting wireless sensors. The sensors can harvest the energy from the environment, but they cannot charge and discharge at the same time. We propose a protocol for energy harvesting and wireless transmission, which contains two steps. In the first step, the sensor harvests the energy from environment, and the energy harvesting rate is controlled by the harvested energy power of the energy saving device (ESD). In the second step, some data should be transmitted to the receiver in a certain time. Considering one slot time, the first part of the time is devoted exclusively to energy harvesting, and the remaining time of the slot is for transmitting the information data. Assume thatQbits are transmitted to the receiver within one time slot; we establish the relationship between the harvesting energy time and the transmit data time. In addition, we analyze the system outage probability performance over the Rayleigh fading channel.
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Li, Xian Li, Jia Wei Zhang, and Hai Tao Zhang. "Distributed Data Aggregation Algorithm in Wireless Sensor Networks." Applied Mechanics and Materials 442 (October 2013): 526–31. http://dx.doi.org/10.4028/www.scientific.net/amm.442.526.
Повний текст джерелаАнотація:
Considering the limited resources and data transmission redundancy of wireless sensor networks, this paper proposes a distributed data aggregation algorithm based on lifting wavelet transform (DDAA-LWT), and carries out the rational design. The algorithm distributes the computing quantity which the lifting wavelet transform requires to all network nodes, eliminates the additional computing and wireless transmission, reduces the information redundancy of network, greatly prolongs the lifecycle of wireless sensor networks. Simulation results demonstrate that the distributed data aggregation algorithm based on lifting wavelet transform (DDAA-LWT) can effectively aggregate the original sensed data and decrease the energy consumption, it significantly outperforms the data aggregation algorithm based on traditional wavelet transform (DAA-WT).
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Sarkar, Nurul I., Dev Pal Singh, and Monjur Ahmed. "A Survey on Energy Harvesting Wireless Networks: Channel Capacity, Scheduling, and Transmission Power Optimization." Electronics 10, no. 19 (September 24, 2021): 2342. http://dx.doi.org/10.3390/electronics10192342.
Повний текст джерелаАнотація:
This paper presents a survey on energy harvesting (EH) wireless communication networks focusing on channel capacity, transmission schemes, and power optimization. While many network researchers focus on energy management policies addressing the intermittency and randomness of the EH processes, but the channel capacity, and transmission power optimization have not been fully explored yet. In this paper, we provide a review and analysis of channel capacity, offline and online transmission schemes, and power optimization from an information theory perspective. By reviewing and analyzing wireless networking literature, we found that EH is a technologically feasible and economically viable paradigm for cost-effectiveness in the design and deployment of next-generation wireless networks. Finally, we identify open research problems and future research directions in the emerging field of EH wireless networks. We expect this study to stimulate more research endeavors to build energy-efficient scalable next-generation wireless network systems.
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Santos, Luís, Tiago Costa, João M. L. P. Caldeira, and Vasco N. G. J. Soares. "Performance Assessment of ESP8266 Wireless Mesh Networks." Information 13, no. 5 (April 20, 2022): 210. http://dx.doi.org/10.3390/info13050210.
Повний текст джерелаАнотація:
This paper presents a wireless mesh network testbed based on ESP8266 devices using painlessMesh library. It evaluates its feasibility and potential effectiveness as a solution to monitor perishable goods, such as fresh fruit and vegetables, which are often stored and transported inside refrigerated containers. Performance testing experiments with different numbers of nodes and traffic loads and different message payload sizes are conducted under unicast transmission. The impact on network performance is evaluated in terms of delivery ratio and delivery delay, which, consequently, affect the energy consumption and, hence, network lifetime. The results of this investigation are an important contribution to help researchers to propose mechanisms, schemes, and protocols to improve performance in such challenging networks.
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Olberg, P. "Multimedia Sensor Networks Based on Ultra-wideband Chaotic Radio Pulses." Bulletin of Science and Practice 7, no. 2 (February 15, 2021): 220–26. http://dx.doi.org/10.33619/2414-2948/63/21.
Повний текст джерелаАнотація:
The fast direction in information and communication systems of the wireless sensor network is discussed. Special attention was paid to ultra-wideband wireless sensor networks, which use chaotic radio pulses as information carriers for communication between sensor nodes. The creation of such systems became possible after many years of research on the creation and management of chaos in electronic systems. The requirements for transceivers for transmitting multimedia data in wireless sensor networks and the characteristics of existing systems are considered. The prospects of using ultra-wideband wireless systems based on direct chaotic data transmission in multimedia sensor networks are analyzed.
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Kim, Hyerin, and Jungmin So. "Improving Spatial Reuse of Wireless LAN Uplink Using BSS Color and Proximity Information." Applied Sciences 11, no. 22 (November 22, 2021): 11074. http://dx.doi.org/10.3390/app112211074.
Повний текст джерелаАнотація:
With the density of wireless networks increasing rapidly, one of the major goals in next-generation wireless LANs (Local Area Networks) is to support a very dense network with a large number of closely deployed APs (Access Points) and crowded users. However, the CSMA (Carrier-Sense Multiple Access)-based medium access control of current wireless network systems suffers from significantly degraded performance when the network becomes dense. Recent WLAN (Wireless Local Area Networks) standards include measures for increasing spatial reuse such as BSS (Basic Service Set) coloring, but the schemes based on BSS coloring such as OBSS/PD (Overlapping BSS/Preamble Detection) have limitations in improving spatial reuse. In this paper, we propose a spatial reuse method for uplink which can utilize BSS color and proximity information to improve the efficiency of carrier sensing and thus spatial reuse. Specifically, through the BSS color and the proximity information, a node receiving a preamble can figure out how far the receiver of the ongoing traffic is located. This information is used to determine whether the node should aggressively start transmitting or defer its transmission to protect the ongoing transmission. Simulation results show that the proposed method outperforms existing methods in terms of throughput and fairness.
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Liang, Gen, Guoxi Sun, Jingcheng Fang, Xiaoxue Guo, and Hewei Yu. "An Access Selection Algorithm for Heterogeneous Wireless Networks Based on Optimal Resource Allocation." Wireless Communications and Mobile Computing 2020 (July 4, 2020): 1–13. http://dx.doi.org/10.1155/2020/8844015.
Повний текст джерелаАнотація:
Wireless networks form heterogeneous wireless networks (HWNs) with overlapping signal coverage, and access selection is one of the key technologies of HWNs. Today, most access selection algorithms select appropriate networks mainly from the perspective of users while failing to consider resource allocation and optimize the overall transmission performance of HWNs. This paper proposes an access selection algorithm for HWNs based on optimal resource allocation by analyzing the wireless link transmission rate model, focusing on maximizing the HWN transmission rate, using the dynamic programming theory to derive the optimal value of bandwidth allocated to users. Experimental results show that the algorithm proposed in this paper can effectively improve network throughput and resource utilization and can connect users to the appropriate network according to QoS rate requirements.
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Pásztor, Dániel, Péter Ekler, and János Levendovszky. "Energy-Efficient Routing in Wireless Sensor Networks." Acta Cybernetica 25, no. 2 (December 7, 2021): 421–34. http://dx.doi.org/10.14232/actacyb.288351.
Повний текст джерелаАнотація:
Efficient data collection is the core concept of implementing Industry4.0 on IoT platforms. This requires energy aware communication protocols for Wireless Sensor Networks (WSNs) where different functions, like sensing and processing on the IoT nodes must be supported by local battery power. Thus, energy aware network protocols, such as routing, became one of fundamental challenges in IoT data collection schemes.In our research, we have developed novel routing algorithms which guarantee minimum energy consumption data transfer which is achieved subject to pre-defined reliability constraints. We assume that data is transmitted in the form of packets and the routing algorithm identifies the paths over which the packets can reach the Base Station (BS) with minimum transmission energy, while the probability of successful packet transmission still exceeds a pre-defined reliability parameter. In this way, the longevity and the information throughput of the network is maximized and the low energy transmissions will considerably extend the lifetime of the IoT nodes. In this paper we propose a solution that maximizes the lifetime of the nodes.
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Qi, Xiaogang, Lifang Liu, Gengzhong Zheng, and Mande Xie. "An Adaptive Aggregation Scheduling Algorithm Based on the Grid Partition in Large-Scale Wireless Sensor Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/283209.
Повний текст джерелаАнотація:
Data aggregation algorithm aims to reduce the redundant information by gathering the sensed data, save energy, and prolong the lifetime of the network. However, the data aggregation technology will increase the network transmission delay of wireless sensor networks. Minimum-latency aggregation scheduling is designed to minimize the number of scheduled time slots to perform an aggregation. In this paper, we present an Adaptive Aggregation Scheduling Algorithm based on the Grid Partition (AASA-GP) in large-scale wireless sensor networks. By dividing the network into grids based on the geographical information, we allocate the channels according to the grid coordinates. Nodes with the same grid coordinates use the same channel and the adjacent grids use the different channels, so we can effectively avoid the wireless media transmission interference, increase the parallel transfer rate, and reduce the aggregation latency. Our extensive evaluation results demonstrate the superiority of the AASA-GP. For small-scale networks, the resultant latency is comparable with the best practice, and it is more suitable for large-scale wireless sensor networks.
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Chen, Zhuo, Peng Xu, Zhiguo Ding, and Xuchu Dai. "Cooperative Transmission in Simultaneous Wireless Information and Power Transfer Networks." IEEE Transactions on Vehicular Technology 65, no. 10 (October 2016): 8710–15. http://dx.doi.org/10.1109/tvt.2015.2510748.
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Zhu, Yun, Jie Gao, Lin Zhang, and Shao Lan Sun. "System Modeling for Opportunistic Network-Coded Cooperative Multicast Transmission in Clustered Wireless Sensor Networks." Advanced Materials Research 756-759 (September 2013): 1413–17. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1413.
Повний текст джерелаАнотація:
Wireless sensor networks are formed by connected sensors that each have the ability to collect, process, and store environmental information as well as communicate with others via inter-sensor wireless communication. The many-to-one communication pattern used by sensor nodes in most of the data gathering applications leads to such unbalanced energy consumption. Cluster-based protocols attempt to solve this problem by load balancing within the cluster and rotating the job of cluster head every few rounds. In this paper, in order to achieve efficient utilization of wireless resources, we propose an opportunistic network-coded cooperative multicast scheme, which can select appropriate relays by synthetically considering location and instantaneous channel state information to improve the network performance than direct multicast with non additional power consumption.
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Al Kabi, Amin. "Enhancement of Energy Harvesting Efficiency in Mobile Wireless Sensor Networks." WSEAS TRANSACTIONS ON COMMUNICATIONS 21 (May 19, 2022): 129–34. http://dx.doi.org/10.37394/23204.2022.21.18.
Повний текст джерелаАнотація:
Mobile wireless sensor networks suffer from the restricted availability of energy supplies. In this research work, a proposed method for extending the lifetime of energy-constrained mobile wireless sensor networks (MWSNs) is presented. This method is based on the fact that RF signal carries both information and energy at the same time. Hence, by increasing the efficiency of energy harvesting from radio frequency (RF) signals, the lifetime of the wireless network can be significantly extended. The Simultaneous Wireless Information and Power Transfer (SWIPT) technique enables harvesting of energy by relay nodes which in turn can be used for wireless data transmission. To enhance the lifetime of the mobile wireless network, the transmitted RF energy can be recycled at the receiver side. On the other hand, a balance between energy harvesting and wireless data transmission is required in to maximize the overall efficiency of the system. Particle Swarm Optimization (PSO) is employed to obtain the optimum resource allocation policy which maximizes the system energy efficiency. A cost function is framed for this purpose and PSO attains the maximum energy efficiency by improving the solution of the cost function at each iteration with respect to given constraints.
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Boluk, Pinar Sarisaray, Sebnem Baydere, and A. Emre Harmanci. "Robust Image Transmission Over Wireless Sensor Networks." Mobile Networks and Applications 16, no. 2 (December 14, 2010): 149–70. http://dx.doi.org/10.1007/s11036-010-0282-2.
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Nabavi, Seyed Reza, Nafiseh Osati Eraghi, and Javad Akbari Torkestani. "WSN Routing Protocol Using a Multiobjective Greedy Approach." Wireless Communications and Mobile Computing 2021 (April 13, 2021): 1–12. http://dx.doi.org/10.1155/2021/6664669.
Повний текст джерелаАнотація:
Due to the widespread use of communication networks and the ease of transmitting and gathering information through these networks, wireless sensor networks (WSN) have become increasingly popular. Usability in any environment without the need for environmental monitoring and engineering of these networks has led to their increasing usage in various fields. Routing information from the sensor node to sink, so that node energy is consumed uniformly and network life is not reduced, is one of the most important challenges in wireless sensor networks. Most wireless networks have no infrastructure, and embedded sensor nodes have limited power. Thus, the early termination of the wireless node’s energy based on the transmission of messages over the network can disrupt the entire network process. In this paper, the object is designed to find the optimal path in WSN based on the multiobjective greedy approach to the near optimal path. The proposed model is presented in this method to transfer sensed data of the sensor network to the base station for the desired applications. In this method, the sensor nodes are identified as adjacent nodes based on their distance. The energy of all nodes initially is approximately equal, which decreases with the transfer of information between the nodes. In this way, when a node senses a message, it checks several factors for transmitting information to its adjacent nodes and selects the node with the largest amount of factors as the next hop. The simulation results show that the energy consumption in the network grids is almost symmetrically presented, and the network lifetime is reduced with a gentle slope that provides optimum energy consumption in the networks. Also, the packet transmission delay in the network reaches 450 milliseconds for the transmission of information between 15 nodes and 650 connections. Besides, network throughput increases by approximately 97%. It also shows better performance compared to other previous methods in terms of evaluation criteria.
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Wang, Xinheng. "Wireless mesh networks." Journal of Telemedicine and Telecare 14, no. 8 (December 2008): 401–3. http://dx.doi.org/10.1258/jtt.2008.008003.
Повний текст джерелаАнотація:
Wireless telemedicine using GSM and GPRS technologies can only provide low bandwidth connections, which makes it difficult to transmit images and video. Satellite or 3G wireless transmission provides greater bandwidth, but the running costs are high. Wireless networks (WLANs) appear promising, since they can supply high bandwidth at low cost. However, the WLAN technology has limitations, such as coverage. A new wireless networking technology named the wireless mesh network (WMN) overcomes some of the limitations of the WLAN. A WMN combines the characteristics of both a WLAN and ad hoc networks, thus forming an intelligent, large scale and broadband wireless network. These features are attractive for telemedicine and telecare because of the ability to provide data, voice and video communications over a large area. One successful wireless telemedicine project which uses wireless mesh technology is the Emergency Room Link (ER-LINK) in Tucson, Arizona, USA. There are three key characteristics of a WMN: self-organization, including self-management and self-healing; dynamic changes in network topology; and scalability. What we may now see is a shift from mobile communication and satellite systems for wireless telemedicine to the use of wireless networks based on mesh technology, since the latter are very attractive in terms of cost, reliability and speed.
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Li, Cui-Min, Chun-Ying Li, and Lei Wang. "Reliable data transmission method based on 6LoWPAN for building energy systems." Building Services Engineering Research and Technology 41, no. 5 (November 26, 2019): 623–33. http://dx.doi.org/10.1177/0143624419891521.
Повний текст джерелаАнотація:
The building energy internet of things is based on radio frequency technology and a wireless sensor network that can collect building energy consumption data in real time. However, with the increasing complexity of wireless sensor network topology, there is a problem of insufficient IP address space relying on IPv4 protocol. In this paper, a design scheme of a building energy system based on 6LoWPAN network is proposed. IPv4/IPv6 address conversion is used to realise the access of IP addresses to each other, so as to monitor building energy consumption information anytime and anywhere. In view of the shortcomings of existing wireless network data transmission methods in low energy consumption and high reliability in building energy monitoring applications, a reliable data transmission method based on multipath routing coding algorithm is proposed. This strategy improves the transmission reliability of the network by increasing the number of redundant packets, and reduces the energy consumption of the network by reducing the number of transmission paths. The simulation results show that the proposed method can effectively improve the success rate of data packet transmission, reduce the standard energy consumption of sensor networks, and provide an effective method for the application of wireless sensor networks in building energy monitoring systems. Practical application: This paper studies how to improve transmission reliability and energy efficiency in cluster-based WSN and proposes a multi-path transmission strategy for selective coding of intermediate cluster head nodes. The strategy improves the transmission reliability of the network by increasing the number of transmissions of redundant packets and reduces the network energy consumption by reducing the number of transmission paths. It has good use value for the actual development and application of the building energy consumption monitoring system.
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Xu, Haitao, Hongjie Gao, Chengcheng Zhou, Ruifeng Duan, and Xianwei Zhou. "Resource Allocation in Cognitive Radio Wireless Sensor Networks with Energy Harvesting." Sensors 19, no. 23 (November 22, 2019): 5115. http://dx.doi.org/10.3390/s19235115.
Повний текст джерелаАнотація:
The progress of science and technology and the expansion of the Internet of Things make the information transmission between communication infrastructure and wireless sensors become more and more convenient. For the power-limited wireless sensors, the life time can be extended through the energy-harvesting technique. Additionally, wireless sensors can use the unauthored spectrum resource to complete certain information transmission tasks based on cognitive radio. Harvesting enough energy from the environments, the wireless sensors, works as the second users (SUs) can lease spectrum resource from the primary user (PU) to finish their task and bring additional transmission cost to themselves. To minimize the overall cost of SUs and to maximize the spectrum profit of the PU during the information transmission period, we formulated a differential game model to solve the resource allocation problem in the cognitive radio wireless sensor networks with energy harvesting, considering the SUs as the game players. By solving the proposed resource allocation game model, we found the open loop Nash equilibrium solutions and feedback Nash equilibrium solutions for all SUs as the optimal control strategies. Ultimately, series numerical simulation experiments have been made to demonstrate the rationality and effectiveness of the game model.
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Moid, Azfar, and Abraham O. Fapojuwo. "A Cross-Layer Framework for Efficient Streaming of H.264 Video over IEEE 802.11 Networks." Journal of Computer Systems, Networks, and Communications 2009 (2009): 1–13. http://dx.doi.org/10.1155/2009/682813.
Повний текст джерелаАнотація:
This paper presents a framework for reliable and efficient streaming of H.264 video over an IEEE 802.11-based wireless network. The framework relies on a cross-layer mechanism that jointly adapts the video transcoding parameters at the application layer and the video transmission parameters at the data-link layer to the network conditions defined by buffer length and wireless propagation channel. The effectiveness of the proposed framework is demonstrated through the transmission of three test video sequences (Akiyo, Container, andForeman) having different degrees of motion over an IEEE802.11 wireless network. Simulation results show that the proposed cross-layer-based framework provides an enhancement of up to 3 dB in the video quality with a negligible increase (<5%) in the packet processing time. Hence, the proposed framework achieves a good balance in the tradeoff between video quality and packet processing time. The proposed framework, along with its performance results, provides valuable insights on the selection of network parameter values for efficient and reliable transmission of video applications in wireless networks.
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Zhou, Xi Yi, Li Qiang Liu, and Ge Zhang. "An Improved Clustering Algorithm for Wireless Sensor Networks." Advanced Materials Research 926-930 (May 2014): 2654–57. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2654.
Повний текст джерелаАнотація:
An on-demand weighed clustering algorithm is proposed against the limitation of wireless sensor network nodes with limited energy. This algorithm obtains more local network information by means of information interaction between nodes, and by comprehensively considering such factors as the current energy value, degree and transmission power, etc. of nodes, it makes different clustering decisions as per different application backgrounds of networks. Simulation results show that this algorithm has a more rational clustering by reducing energy consumption and lengthening network lifetime, compared to Low Energy Adaptive Clustering Hierarchy, a representative clustering algorithm.
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Noh, Wonjong. "Distributed and Localized Hub-Based Hierarchical Information Transmission Control in Large-Scale Wireless Cloud Networks." Applied Sciences 9, no. 24 (December 4, 2019): 5283. http://dx.doi.org/10.3390/app9245283.
Повний текст джерелаАнотація:
This paper proposes a virtual infrastructure-based hierarchical information transmission scheme consisting of two phases, macroscopic transmission and local transmission controls. The macroscopic transmission control builds a hub-node-based virtual infrastructure and then finds the optimal hub route that satisfies the stochastic end-to-end delay constraint. Each node determines whether it belongs to a hub node by itself in a distributed manner. The local transmission control builds a robust local path between hub nodes by using the synchronized redundancy concept; this minimizes the effects of transmission failure by reducing the control traffic overhead and time to reconfigure transmission paths without rediscovery of the transmission path from the source node. Simulations confirmed that, as the network size increased, the performance of the proposed transmission scheme increased in terms of packet delivery ratio and control packet overhead. The scheme can be applied to mobile ad hoc cloud computing systems based on self-organizing vehicular networks or drone networks as a key control.
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Jin, Xianzhu. "Design of Pedagogy Course Information Sharing System Based on Wireless Sensor Network." Security and Communication Networks 2022 (March 1, 2022): 1–12. http://dx.doi.org/10.1155/2022/7040441.
Повний текст джерелаАнотація:
In order to improve the information sharing effect of pedagogy courses, it is necessary to improve the system information transmission network algorithm. This paper improves the wireless sensor network algorithm and analyzes and verifies the performance analysis model of the Aloha protocol in multihop underwater acoustic sensor networks (UASNs). Based on the improved performance analysis model of the Aloha protocol on the String topology network, the expected throughput of the String topology network and the average end-to-end delay can be obtained, and the transmission effect of pedagogy information in the sensor network can be improved. In addition, this paper constructs a pedagogy course information sharing system based on wireless sensor network to verify the information sharing effect of the model constructed in this paper. The experimental research results show that the system model proposed in this paper has certain effects.
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Chupaev, A. V., R. S. Zaripova, R. R. Galyamov, and A. Y. Sharifullina. "The use of industrial wireless networks based on standard ISA-100.11a and protocol WirelessHART in process control." E3S Web of Conferences 124 (2019): 03013. http://dx.doi.org/10.1051/e3sconf/201912403013.
Повний текст джерелаАнотація:
This article considers wireless technologies in the field of automation of technological processes and production in the energy, chemical, petrochemical and oil refining, gas, railway, mining, metallurgical and other industries where the use of wireless industrial devices is necessary due to specific features. Wireless technologies provide the ability to connect measuring devices directly to the wireless network with further transfer of information through a wireless gateway to an automated control system. This article will discuss the types of wireless networks that are classified according to the possible range of action (Wireless Wide area network, Wireless Local Area Network, Wireless Personal Area Network). The most common standards of organization of wireless industrial networks, including IEEE 802.11 b/g/n, IEEE 802.15.1, IEEE 802.15.4, IEEE 802.16 e, will also be considered, including in the field of management of chemical-technological processes and productions. Data transmission protocols ISA-100.11.a and WirelessHART and a number of their features will be analyzed. The basic standard network structures based on the ISA-100.11.a and WirelessHART protocols, their typical components, will be considered. The article provides an analytical comparison of the ISA100.11a and WirelessHART over the OSI network model layers, including the physical layer, the link layer, the network layer, the transport layer, the session layer, the presentation layer and the application layer (process control, management, security, application sublayer). The main stages of calculation of wireless industrial network are given, in particular: calculation of the network information load, calculation of the network’s energy parameters, frequency-territorial planning, development of the communication scheme and interface with external networks. The formulas for calculating the network information load using Nazarov’s methodology, calculating the network’s energy parameters, taking into account the overall losses in the propagation of radio waves, including losses in free space, losses in partitions and walls inside the building, losses due to interference and signal fading are given.
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N., Dr Bhalaji. "Reliable Data Transmission with Heightened Confidentiality and Integrity in IOT Empowered Mobile Networks." Journal of ISMAC 2, no. 2 (May 9, 2020): 106–17. http://dx.doi.org/10.36548/jismac.2020.2.004.
Повний текст джерелаАнотація:
The revolution caused by the communication without wires has brought in multitudes of basic modifications in the data network and the telecommunication, making the integrated networks a reality. The further advancements in the wireless communication has enabled to set personal networks using the portable devices, and are termed as the adhoc networks. The networks formed under specific circumstances or a reason could follow any one of the topology to convey the information. W ireless mesh network is the form of such network mentioned above that organized in a mesh topology. This network formed in mesh topology contains several consumers who are arranged in the distributed manner and forward the packets in a one or more than one hop model. The protocols that help in sorting out the path for sending and receiving the information are has a vital influence over the network in mesh topology as they affect the throughput, life of established links etc. Integrating the wireless mesh topology to the internet of things has improved the way of information sharing by linking multitudes tangible things around. The mesh topology wireless networks formed using the portable devices or other –wise called as the mobile networks that are connected over internet are open to security breaches as the mesh holds few nodes that are malicious. This makes the information conveyed to be either compromised or manipulated. The article in order to ensure the reliability in the transmission of the data with the heightened confidentiality and integrity in the IOT empowered mobile networks proposes a routing strategy that is robust across the consumers in mesh, the gateway and the routers. The channels across the devices in the mesh are formed based on the efficiency of the connections for the distribution of the data. The simulation process of the proposed work using the network simulator 2 shows the performance improvement of the proposed work with respect to throughput of the network, packet loss rate, packet delivery rate, latency, energy efficiency and the computational overhead.
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Tang, Kun, Wenjuan Tang, Entao Luo, Zhiyuan Tan, Weizhi Meng, and Lianyong Qi. "Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things." Security and Communication Networks 2020 (February 24, 2020): 1–10. http://dx.doi.org/10.1155/2020/7542726.
Повний текст джерелаАнотація:
In this paper, we consider the issue of the secure transmissions for the cognitive radio-based Internet of Medical Things (IoMT) with wireless energy harvesting. In these systems, a primary transmitter (PT) will transmit its sensitive medical information to a primary receiver (PR) by a multi-antenna-based secondary transmitter (ST), where we consider that a potential eavesdropper may listen to the PT’s sensitive information. Meanwhile, the ST also transmits its own information concurrently by utilizing spectrum sharing. We aim to propose a novel scheme for jointly designing the optimal parameters, i.e., energy harvesting (EH) time ratio and secure beamforming vectors, for maximizing the primary secrecy transmission rate while guaranteeing secondary transmission requirement. For solving the nonconvex optimization problem, we transfer the problem into convex optimization form by adopting the semidefinite relaxation (SDR) method and Charnes–Cooper transformation technique. Then, the optimal secure beamforming vectors and energy harvesting duration can be obtained easily by utilizing the CVX tools. According to the simulation results of secrecy transmission rate, i.e., secrecy capacity, we can observe that the proposed protocol for the considered system model can effectively promote the primary secrecy transmission rate when compared with traditional zero-forcing (ZF) scheme, while ensuring the transmission rate of the secondary system.
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Sivsangari, A., R. Subhashini, S. Vigneshwari, and B. Bharathi. "Secure Encryption and Compression in Wireless Body Sensor Networks." Journal of Computational and Theoretical Nanoscience 16, no. 8 (August 1, 2019): 3608–11. http://dx.doi.org/10.1166/jctn.2019.8333.
Повний текст джерелаАнотація:
The ECG information are essential in medical diagnosis and treatment. If any loss or alteration of medical information during their data transmission, it will affect the patient. The ECG information is very long and needs more memory space for storing the information. However, the sensor nodes are energy constrained and have less memory space. The energy consumption and security are the two important requirements in WBAN. In order to minimize the energy consumption, the proposed model exploits the compression. The compression can reduce the amount of data transmission.
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Yan, Xin, and Jia Gen Du. "On the Topology Design of Integrated Wireless Networks." Applied Mechanics and Materials 55-57 (May 2011): 555–60. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.555.
Повний текст джерелаАнотація:
Topology clustering, constructing overlay graphs, adding relay nodes, or creating a “small-world” network by building some shortcuts etc, topology control schemes are able to achieve the scalability, resilience, and fault-tolerance for wireless communication networks. In this article, we take a different approach to reach such aim for heterogeneous integrated wireless networks by generating a topology such that the resulting network is “scale-free”. Thereby we propose a topology control algorithm based on the “scale-free” complex network concept and directed proximity graph theory for integrated wireless networks with non-uniform transmission ranges. In this algorithm, the topology is also generated by new nodes’ growth and preferential attachment procedure, but where each new node connects to the existing nodes in its directed attachable proximity in terms of certain probability at each time step. Each node’s directed attachable proximity graph is generated from its directed reachable proximity graph that is built by regulating its transmission power based on locally collected information. The simulation experiments are provided to validate our claims.
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Ding, Min, and Yingda Xu. "Real-Time Wireless Sensor Network-Assisted Smart Tourism Environment Suitability Assessment for Tourism IoT." Journal of Sensors 2021 (December 16, 2021): 1–11. http://dx.doi.org/10.1155/2021/8123014.
Повний текст джерелаАнотація:
In this paper, we conduct an in-depth study and analysis of the suitability of real-time wireless sensor network-assisted smart tourism environment for tourism IoT and evaluate its suitability. We use nodes in wireless sensor networks as relays and collaborative transmission using mutual information accumulation. Using riteless codes, nodes can accumulate information in advance to decode out the original text. Due to the mobility of mobile robots, the planned routing paths can fail quickly, so we propose a dynamic mutual information accumulation collaborative transmission algorithm. For both cases of information transmission from the cloud to the robot and from the robot to the cloud, we dynamically acquire routing paths using neighbour search and chance transmission, respectively. Experimental results show that our dynamic mutual information accumulation collaborative transfer algorithm has lower time complexity and latency. We use a cooperative transmission algorithm with mutual information accumulation, because wireless transmission has the nature of broadcasting, and all neighbour nodes can receive part of the information when the sender starts to transmit information. Riteless codes are used in single-hop transmissions to improve the probability of successful transmissions. Since transmission failure requires waiting for the next neighbour to wake up, which consumes a lot of energy and time in a low duty cycle environment, using riteless codes to improve the transmission success rate of single-hop transmissions can effectively improve the global transmission efficiency. Experimental results show that the opportunity routing algorithm using riteless codes has lower delay and energy consumption. The two major systems, surface, and underground are used to quantitatively measure 23 indicators in five subsystems, including geological environment, soil and water environment, sensitive geological bodies, groundwater resources, and mineral resources, to evaluate the two-way grade of underground space development suitability, revealing the comprehensive bearing characteristics of the study area with an overall high bearing capacity of underground space resources and environment and an overall surplus of bearing status.