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Journal articles on the topic 'Maritime wireless sensor networks'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Panić, Ivan, Jasmin Ćelić, and Aleksandar Cuculić. "Wireless Condition Monitoring of Machinery and Equipment in Maritime Industry." Pomorstvo 32, no. 2 (December 20, 2018): 201–10. http://dx.doi.org/10.31217/p.32.2.5.

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Seagoing vessels are highly complex systems. Major requirements of marine vessels are continuous running time and high production output. As such, these systems require high availability and reliability, and are dependent on preventive maintenance procedures. Development of diverse range of sensors, combined with overall reduction in price, enabled implementation of condition based maintenance in such systems. Large increases in fuel cost, environmental restrictions and further crew reduction are current trend in maritime industry. Considering marine sector emphasis on the reduction of fuel consumption, environmental restrictions, and reduction of crew size, implementation of condition based maintenance is favourable, especially with regard to lost man-hours. However, high initial cost of installation on moving vessels, necessary crew training and additional sensor maintenance inhibits implementation of condition based maintenance. Replacing wired monitoring system with wireless ship-board sensor network would mitigate the above mentioned problems. However, current research of wireless sensor networks is based on terrestrial installation. This paper analyses the application of wireless sensor network technology on board seagoing vessels. Practical engineering solutions, including sensor types, configurations and wireless network topologies have been identified and reviewed.

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2

Walid, Elgenaidi, Newe Thomas, O'Connell Eoin, and Dooly Gerard. "Trust security mechanism for maritime wireless sensor networks." Concurrency and Computation: Practice and Experience 29, no. 23 (September 16, 2016): e3945. http://dx.doi.org/10.1002/cpe.3945.

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3

Masnicki, Romuald, Janusz Mindykowski, and Przemyslaw Grala. "Towards Safety Improvement of Measurement and Control Signals Transmission in Marine Environment." Sensors 20, no. 6 (March 17, 2020): 1668. http://dx.doi.org/10.3390/s20061668.

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This paper is dedicated to some aspects of maritime on-board safety improvement. The contribution of this article is a proposal to extend wireless communication on the ship, supported by examples of solutions that have not previously been used on board. Analyzed aspects concern the measurement and control signal transmission in hostile marine environment. A problem to solve is formulated, how to reduce a negative impact of this environment on effectiveness and reliability of maritime on board communication. The proposed ways for solving a problem under consideration cover recommendations concerning some aspects of ship construction and implementation of wireless sensor network. The main topic faced by the paper is concentrated on case study-based ZigBee as well as WiFi networks implementation in the area of the acquisition of data from sensors and measuring transducers connected to the terminal network. The exemplary implementation of ZigBee network, elaborated in Gdynia Maritime University is related, firstly, to the configuration of a simple wireless measurement and control channel, and secondly, to wireless communication channel supported by autonomously working microprocessor measurement and control system. WiFi networks were also tested in the same area of application. Finally, some concluding remarks are formulated.

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4

Chen, Weigang, Dongming Sun, Changcai Han, Jinsheng Yang, Feng Gong, and Wei Wang. "Macrodiversity Reception with Distributed Hard-Decision Receivers for Maritime Wireless Sensor Networks." Sensors 20, no. 14 (July 15, 2020): 3925. http://dx.doi.org/10.3390/s20143925.

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Maritime wireless sensor networks are considered to be the primary means of monitoring methods in the marine environment. The transmission between sensor node and sink node in maritime wireless sensor networks is usually unreliable due to the harsh propagation environment. To extend the transmission range or to enhance the transmission reliability between sensor nodes and sink node, we propose a macrodiversity reception scheme in the sink node equipped with distributed multiple hard-decision receivers. Multiple receivers are divided into several clusters and placed at different locations to receive different signal copies suffering from different fadings. Furthermore, a cascaded combining strategy based on hard-decision information is used to reduce the overall complexity of receiving side. The experimental results in the ocean scenarios show that the macrodiversity reception scheme with two antenna clusters has a transmission gain of 3–4 dB compared with the single antenna reception when the package loss rate is 10 − 2 . The study casts a new method for reliable transmission in maritime wireless sensor networks using commercial transceivers which can only output hard-decision results.

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5

Luo, Hanjiang, Xu Wang, Ziyang Xu, Chao Liu, and Jeng-Shyang Pan. "A software-defined multi-modal wireless sensor network for ocean monitoring." International Journal of Distributed Sensor Networks 18, no. 1 (January 2022): 155014772110683. http://dx.doi.org/10.1177/15501477211068389.

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The software-defined networking paradigm enables wireless sensor networks as a programmable and reconfigurable network to improve network management and efficiency. However, several challenges arise when implementing the concept of software-defined networking in maritime wireless sensor networks, as the networks operate in harsh ocean environments, and the dominant underwater acoustic systems are with limited bandwidth and high latency, which render the implementation of software-defined networking central-control difficult. To cope with the problems and meet demand for high-speed data transmission, we propose a radio frequency–acoustic software-defined networking-based multi-modal wireless sensor network which leverages benefits of both radio frequency and acoustic communication systems for ocean monitoring. We first present the software-defined networking-based multi-modal network architecture, and then explore two examples of applications with this architecture: network deployment and coverage for intrusion detection with both grid-based and random deployment scenarios, and a novel underwater testbed design by incorporating radio frequency–acoustic multi-modal techniques to facilitate marine sensor network experiments. Finally, we evaluate the performance of deployment and coverage of software-defined networking-based multi-modal wireless sensor network through simulations with several scenarios to verify the effectiveness of the network.

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6

Dinis, Hugo, João Rocha, Tiago Matos, Luís M. Gonçalves, and Marcos Martins. "The Challenge of Long-Distance Over-the-Air Wireless Links in the Ocean: A Survey on Water-to-Water and Water-to-Land MIoT Communication." Applied Sciences 12, no. 13 (June 24, 2022): 6439. http://dx.doi.org/10.3390/app12136439.

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Robust wireless communication networks are a cornerstone of the modern world, allowing data to be transferred quickly and reliably. Establishing such a network at sea, a Maritime Internet of Things (MIoT), would enhance services related to safety and security at sea, environmental protection, and research. However, given the remote and harsh nature of the sea, installing robust wireless communication networks with adequate data rates and low cost is a difficult endeavor. This paper reviews recent MIoT systems developed and deployed by researchers and engineers over the past few years. It contains an analysis of short-range and long-range over-the-air radio-frequency wireless communication protocols and the synergy between these two in the pursuit of an MIoT. The goal of this paper is to serve as a go-to guide for engineers and researchers that need to implement a wireless sensor network at sea. The selection criterion for the papers included in this review was that the implemented wireless communication networks were tested in a real-world scenario.

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7

García, Óscar, Ricardo Alonso, Dante Tapia, and Fabio Guevara. "Wireless Sensor Networks and Real-Time Locating Systems to Fight against Maritime Piracy." International Journal of Interactive Multimedia and Artificial Intelligence 1, no. 5 (2012): 14. http://dx.doi.org/10.9781/ijimai.2012.152.

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8

Bouk, Safdar Hussain, Syed Hassan Ahmed, and Dongkyun Kim. "Delay Tolerance in Underwater Wireless Communications: A Routing Perspective." Mobile Information Systems 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/6574697.

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Similar to terrestrial networks, underwater wireless networks (UWNs) also aid several critical tasks including coastal surveillance, underwater pollution detection, and other maritime applications. Currently, once underwater sensor nodes are deployed at different levels of the sea, it is nearly impossible or very expensive to reconfigure the hardware, for example, battery. Taking this issue into account, considerable amount of research has been carried out to ensure minimum energy costs and reliable communication between underwater nodes and base stations. As a result, several different network protocols were proposed for UWN, including MAC, PHY, transport, and routing. Recently, a new paradigm was introduced claiming that the intermittent nature of acoustic channel and signal resulted in designing delay tolerant routing schemes for the UWN, known as an underwater delay tolerant network. In this paper, we provide a comprehensive survey of underwater routing protocols with emphasis on the limitations, challenges, and future open issues in the context of delay tolerant network routing.

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9

Wu, Huafeng, Lei Yang, Ling Liu, Ming Xu, and Xinping Guan. "Real-Time Localization Algorithm for Maritime Search and Rescue Wireless Sensor Network." International Journal of Distributed Sensor Networks 9, no. 3 (January 2013): 791981. http://dx.doi.org/10.1155/2013/791981.

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10

Kang, Hee Jin, Dongkon Lee, Jong Gye Shin, Gyeong Joong Lee, and Jin Choi. "Interactive Escape Route Control for Passenger Ships Using Emergency Lighting." Marine Technology Society Journal 44, no. 5 (September 1, 2010): 43–49. http://dx.doi.org/10.4031/mtsj.44.5.1.

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AbstractMaritime accidents lead to massive loss of life and property. In the case of passenger ships, the potential for damage is especially high. Although the Maritime Safety Committee (MSC) of the International Maritime Organization has recently increased the regulation of passenger ship safety, serious accidents continue to occur.A large passenger ship (e.g., a cruise ship) is very wide and contains a complex population of passengers; it is difficult for crew members to be aware of each passenger’s location and idiosyncrasies. Such knowledge could be used by crew members in normal conditions to control the passengers, thereby avoiding dangerous scenarios. In an emergency situation, the same knowledge can help crew members control the flow of escape and help passengers, including handicapped persons, children, and the elderly.In this paper, we examine the use of emergency lighting and wireless sensor networks to create a new methodology for interactive escape route control. The sensor network consists of a wireless system (i.e., ZigBee) that collects raw data from each passenger. These data are then used to determine escape routes, which are communicated to the crew via emergency lighting. We also include simulation results of the proposed interactive escape route control for selected scenarios.

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11

Xian, Jiangfeng, Huafeng Wu, Xiaojun Mei, Xinqiang Chen, and Yongsheng Yang. "Low-Delay and Energy-Efficient Opportunistic Routing for Maritime Search and Rescue Wireless Sensor Networks." Remote Sensing 14, no. 20 (October 17, 2022): 5178. http://dx.doi.org/10.3390/rs14205178.

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After the occurrence of a maritime disaster, to save human life and search for important property equipment in the first time, it is indispensable to efficiently transmit search and rescue sea area data to the maritime search and rescue command center (MSRCC) in real-time, so that the MSRCC can make timely and accurate decisions. The key to determining the efficiency of data forwarding is the quality of the routing protocol. Due to the high dynamics of the marine environment and the limited energy of the marine node, the coverage hole and routing path failure problems occur frequently when using the existing routing algorithm for marine data forwarding. Based on the above background, in this work, we study a low-latency and energy-efficient opportunistic routing protocol for maritime search and rescue wireless sensor networks (MSR-WSNs). Considering the adverse impact of wave shadowing on signal transmission, an effective link reliability prediction method is first investigated to quantify the link connectivity among nodes. To mitigate the end-to-end time delay, an optimal expected packet advancement is then derived by combining link con-nectivity with geographic progress threshold θ. After that, based on the link connectivity between marine nodes, the optimal expected packet advancement prediction, the distance from the sensing nodes to the sink, and the remaining energy distribution of the nodes, the priority of candidate nodes is calculated and sorted in descending order. Finally, timer-based coordination algorithm is adopted to perform the marine data packet forwarding so as to avoid packet conflict. Computer simulation results demonstrate that compared with benchmark algorithms, the data packet delivery ratio, the delay performance and the average node energy consumption (the average node speed is 20 m/s) of the proposed opportunistic routing protocol are improved by more than 21.4%, 39.2% and 18.1%, respectively.

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12

Fang, Hong. "Maritime Intelligent Monitoring System Based on Wireless Sensor Network and Construction of Shipping Legal System." Wireless Communications and Mobile Computing 2022 (March 14, 2022): 1–12. http://dx.doi.org/10.1155/2022/1394946.

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With the continuous advancement of the rule of law in society, the pace of global integration is accelerating, and all countries are actively expanding the development of sea areas. The previous maritime navigation management model cannot meet the conditions for active ocean development in the new era. The state must manage ships. My country has established a series of legal systems for ship management, including ship inspection systems, ship registration systems, and ship safety inspection systems. New management models, new service concepts, and prospects have gradually become the focus of attention of domestic and foreign waterway managers. With the continuous advancement of the rule of law in our country, the law enforcement requirements of maritime navigation management are also getting higher and higher. It is very important to create a good legal environment. This article is aimed at studying how to play the role of wireless local area network in maritime navigation management and how to establish a relatively complete legal system. This paper proposes a gray fuzzy comprehensive algorithm. If the fuzzy subset method is used to determine the membership matrix in the fuzzy comprehensive evaluation, then there will be a sudden drop in the degree of membership due to a slight change in the critical value of the index level. Based on this algorithm, a set of preliminary models of maritime channel management is established. The experimental data in this article mentions that in 2017-2020, the percentage of a certain maritime management’s attention to the legal system has clearly shown an upward trend. In 2020, the attention to the legal system is even as high as 69%. It can be seen that supervision improving the legal system is an effective measure. From the data, we can see that the rule of law score in 2018 was about 1.5 points lower than that in 2019, and the rule of law score in 2019 was 7.5 points. The results show that administration according to law puts forward higher requirements on the ability and service level of administrative agencies and their administrative law enforcement personnel, especially in the process of law enforcement, dealing with affairs related to administrative counterparts. Therefore, it is very necessary to establish a complete legal system.

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13

Wu, Huafeng, Jiangfeng Xian, Xiaojun Mei, Yuanyuan Zhang, Jun Wang, Junkuo Cao, and Prasant Mohapatra. "Efficient target detection in maritime search and rescue wireless sensor network using data fusion." Computer Communications 136 (February 2019): 53–62. http://dx.doi.org/10.1016/j.comcom.2019.01.002.

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14

Samson Joseph, Capt. "A Fusion Network for Nautical On-Board Communications." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 1 (January 1, 2018): 1. http://dx.doi.org/10.11591/ijeecs.v9.i1.pp1-4.

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Modern maritime on-board communications have to be improved for safety and security. Current technology provides ease and expediency together to the crew and passengers with the help of ubiquitous technologies. Making use of Wireless Sensor Network (WSN) on board is a current custom of implementing ubiquitous technology for ships as it is important for an on-board communication system which provides reliability and flexibility for handling emergency situations. Two key phases of this scheme are: merging different on-board communiqué networks into a fusion system and enabling the cooperation between them; smoothly incorporating these networks with a consideration of backward compatibility, ease of deployment and association to shore via Internet. A combined integration move towards is selected based on comprehensive analysis.

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15

Wu, Huafeng, Qiannan Zhang, Su Nie, Wei Sun, and Xinping Guan. "An Energy Distribution and Optimization Algorithm in Wireless Sensor Networks for Maritime Search and Rescue." International Journal of Distributed Sensor Networks 9, no. 2 (January 2013): 725869. http://dx.doi.org/10.1155/2013/725869.

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16

Elgenaidi, Walid, Thomas Newe, Eoin O’Connell, Daniel Toal, and Gerard Dooly. "Secure and Efficient Key Coordination Algorithm for Line Topology Network Maintenance for Use in Maritime Wireless Sensor Networks." Sensors 16, no. 12 (December 21, 2016): 2204. http://dx.doi.org/10.3390/s16122204.

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17

Wu, Huafeng, Jun Wang, Raghavendra Rao Ananta, Vamsee Reddy Kommareddy, Rui Wang, and Prasant Mohapatra. "Prediction based opportunistic routing for maritime search and rescue wireless sensor network." Journal of Parallel and Distributed Computing 111 (January 2018): 56–64. http://dx.doi.org/10.1016/j.jpdc.2017.06.021.

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18

Lv, Zhihan, Dongliang Chen, Hailin Feng, Wei Wei, and Haibin Lv. "Artificial Intelligence in Underwater Digital Twins Sensor Networks." ACM Transactions on Sensor Networks 18, no. 3 (August 31, 2022): 1–27. http://dx.doi.org/10.1145/3519301.

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The particularity of the marine underwater environment has brought many challenges to the development of underwater sensor networks (UWSNs) . This research realized the effective monitoring of targets by UWSNs and achieved higher quality of service in various applications such as communication, monitoring, and data transmission in the marine environment. After analysis of the architecture, the marine integrated communication network system (MICN system) is constructed based on the maritime wireless Mesh network (MWMN) by combining with the UWSNs. A distributed hybrid fish swarm optimization algorithm (FSOA) based on mobility of underwater environment and artificial fish swarm (AFS) theory is proposed in response to the actual needs of UWSNs. The proposed FSOA algorithm makes full use of the perceptual communication of sensor nodes and lets the sensor nodes share the information covered by each other as much as possible, enhancing the global search ability. In addition, a reliable transmission protocol NC-HARQ is put forward based on the combination of network coding (NC) and hybrid automatic repeat request (HARQ) . In this work, three sets of experiments are performed in an area of 200 × 200 × 200 m. The simulation results show that the FSOA algorithm can fully cover the events, effectively avoid the blind movement of nodes, and ensure consistent distribution density of nodes and events. The NC-HARQ protocol proposed uses relay nodes for retransmission, and the probability of successful retransmission is much higher than that of the source node. At a distance of more than 2,000 m, the successful delivery rate of data packets is as high as 99.6%. Based on the MICN system, the intelligent ship constructed with the digital twins framework can provide effective ship operating state prediction information. In summary, this study is of great value for improving the overall performance of UWSNs and advancing the monitoring of marine data information.

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19

Cao, Bin, Jianwei Zhao, Po Yang, Zhihan Lv, Xin Liu, and Geyong Min. "3-D Multiobjective Deployment of an Industrial Wireless Sensor Network for Maritime Applications Utilizing a Distributed Parallel Algorithm." IEEE Transactions on Industrial Informatics 14, no. 12 (December 2018): 5487–95. http://dx.doi.org/10.1109/tii.2018.2803758.

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20

Wu, Huafeng, Xiaojun Mei, Xinqiang Chen, Junjun Li, Jun Wang, and Prasant Mohapatra. "A novel cooperative localization algorithm using enhanced particle filter technique in maritime search and rescue wireless sensor network." ISA Transactions 78 (July 2018): 39–46. http://dx.doi.org/10.1016/j.isatra.2017.09.013.

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21

Sanchez-Iborra, Ramon, Ignacio G. Liaño, Christian Simoes, Elena Couñago, and Antonio Skarmeta. "Tracking and Monitoring System Based on LoRa Technology for Lightweight Boats." Electronics 8, no. 1 (December 22, 2018): 15. http://dx.doi.org/10.3390/electronics8010015.

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Maritime communications are really challenging due to the adverse transmission conditions and the lack of a pre-provided infrastructure for supporting long range connectivity with land. Communications in high seas are usually covered by satellite links that are expensive and lead to high power consumption by the terminals. However, in areas closer to the shore, other communication options have been adopted for different kinds of services such as boat tracking and telemetry, data collection from moored monitoring systems, etc. In these scenarios, technologies such as cellular communications or wireless sensor networks have been employed so far; nevertheless, all of them present different drawbacks mostly related with the coverage and energy-efficiency of the system. Recently, a novel communication paradigm, so-called Low Power-Wide Area Network (LP-WAN) has gained momentum due to its interesting characteristics regarding transmission distances and end-node’s power consumption. The latter may be of great interest for ships with energetic restrictions such as small sailboats, recreational boats, or radio control ships. For that reason, in this work, we present a boat tracking and monitoring system based on LoRa (Long Range), one of the most prominent LP-WAN technologies. We provide a comprehensive overview of this communication solution as well as a discussion addressing its benefits when applied to maritime scenarios. We present the results extracted from a case of study, where real-training sessions of Optimist Class sailboats have been monitored by means of the presented architecture, obtaining good levels of coverage and link-reliability with limited power consumption. A transmission range study is also presented, demonstrating the validity of this proposal for monitoring activities inside the port or maneuvers close to the shore.

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22

Gurenko, A., and S. Zubov. "Implementation of Intellectual Logistics Technologies into the Infrastructure Complex of Sea Transport." Economic Herald of the Donbas, no. 3 (61) (2020): 146–53. http://dx.doi.org/10.12958/1817-3772-2020-3(61)-146-153.

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The paper investigates trends in the development of intelligent logistics technologies in the infrastructure complex of maritime transport. The features of the development of the maritime industry in the context of the digitalization of the economy and the inclusion of world port operators in the processes of Industry 4.0 are analyzed. In particular, the current macroeconomic trends and prospects for the development of sea transport in Ukraine have been identified. The research methodology is based on theoretical and methodological analysis of scientific literature, statistical methods, as well as observation, comparative method, description, measurement. The use of scientific research methods made it possible to identify the challenges facing the domestic transport system in the context of the development of global digital logistics. The results of the study indicate that external priorities for the development of maritime transport and the direction of digitalization can increase transport efficiency and improve customer service. It has been proven that these areas of intellectualization of ports provide for the combination of a wide range of advanced technologies: artificial intelligence, cloud computing services, block chain technology. Sharing the latest tools allows transport participants (operators, ports, ship owners, customers) to optimize logistics operations and manage in real time. The analysis made it possible to identify the reasons for the underutilization of the Ukrainian ports and assess the factors hindering the development of the Ukrainian maritime industry. Financial and economic, legal, organizational, and technical problems are identified among the main problems. At the same time, the adopted rules for servicing clients within the ports and the imperfection of the regulatory framework for the unification of documents and information exchange procedures have a significant impact. Most ports are not ready to operate in the new competitive environment. In general, it is recommended to make management decisions on the implementation of intelligent information and telecommunication systems in the maritime industry of Ukraine. It is recommended to intensify the involvement of port infrastructure in logistics processes, taking into account digitalization trends: to introduce systems of automated control centers, subsystems for intelligent analysis, display of data and information, networks of port sensors and actuators, wireless access networks with infrastructure elements of the backbone intelligent multimodal transport system. The implementation of the proposed measures becomes possible in the context of the integrated implementation of information technologies based on joint teamwork to create an electronic model at the level of the USPA and other transport operators.

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Cui, Kuntao, Bin Lin, Wenli Sun, and Wenqiang Sun. "Learning-Based Task Offloading for Marine Fog-Cloud Computing Networks of USV Cluster." Electronics 8, no. 11 (November 5, 2019): 1287. http://dx.doi.org/10.3390/electronics8111287.

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In recent years, unmanned surface vehicles (USVs) have made important advances in civil, maritime, and military applications. With the continuous improvement of autonomy, the increasing complexity of tasks, and the emergence of various types of advanced sensors, higher requirements are imposed on the computing performance of USV clusters, especially for latency sensitive tasks. However, during the execution of marine operations, due to the relative movement of the USV cluster nodes and the network topology of the cluster, the wireless channel states are changing rapidly, and the computing resources of cluster nodes may be available or unavailable at any time. It is difficult to accurately predict in advance. Therefore, we propose an optimized offloading mechanism based on the classic multi-armed bandit (MAB) theory. This mechanism enables USV cluster nodes to dynamically make offloading decisions by learning the potential computing performance of their neighboring team nodes to minimize average computation task offloading delay. It is an optimized algorithm named Adaptive Upper Confidence Boundary (AUCB) algorithm, and corresponding simulations are designed to evaluate the performance. The algorithm enables the USV cluster to effectively adapt to the marine vehicular fog computing networks, balancing the trade-off between exploration and exploitation (EE). The simulation results show that the proposed algorithm can quickly converge to the optimal computation task offloading combination strategy under heavy and light input data loads.

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Mohsan, Syed Agha Hassnain, Yanlong Li, Muhammad Sadiq, Junwei Liang, and Muhammad Asghar Khan. "Recent Advances, Future Trends, Applications and Challenges of Internet of Underwater Things (IoUT): A Comprehensive Review." Journal of Marine Science and Engineering 11, no. 1 (January 6, 2023): 124. http://dx.doi.org/10.3390/jmse11010124.

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Oceans cover more than 70% of the Earth’s surface. For various reasons, almost 95% of these areas remain unexplored. Underwater wireless communication (UWC) has widespread applications, including real-time aquatic data collection, naval surveillance, natural disaster prevention, archaeological expeditions, oil and gas exploration, shipwreck exploration, maritime security, and the monitoring of aquatic species and water contamination. The promising concept of the Internet of Underwater Things (IoUT) is having a great influence in several areas, for example, in small research facilities and average-sized harbors, as well as in huge unexplored areas of ocean. The IoUT has emerged as an innovative technology with the potential to develop a smart ocean. The IoUT framework integrates different underwater communication techniques such as optical, magnetic induction, and acoustic signals. It is capable of revolutionizing industrial projects, scientific research, and business. The key enabler technology for the IoUT is the underwater wireless sensor network (UWSN); however, at present, this is characterized by limitations in reliability, long propagation delays, high energy consumption, a dynamic topology, and limited bandwidth. This study examines the literature to identify potential challenges and risks, as well as mitigating solutions, associated with the IoUT. Our findings reveal that the key contributing elements to the challenges facing the IoUT are underwater communications, energy storage, latency, mobility, a lack of standardization, transmission media, transmission range, and energy constraints. Furthermore, we discuss several IoUT applications while highlighting potential future research directions.

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Ranjan, Alok, H. B. Sahu, and Prasant Misra. "Wireless Sensor Networks." International Journal of Applied Evolutionary Computation 7, no. 4 (October 2016): 1–27. http://dx.doi.org/10.4018/ijaec.2016100101.

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With continuous advancements in sensor technology, wireless communications, modern network architectures and electronics; it is now feasible to fulfill the requirements of underground mines using wireless sensor network (WSN). At present, coal mining industries have the option of choosing a communication and tracking systems based on their requirement and budget. WSN has the advantage of support for wireless architecture which may fit for mining industries. There is limited literature available, which discuss the different features and associated challenges to WSNs in underground mines. However, in this paper, WSN has been targeted as a feasible solution for the underground mining industries, and emphasis has been given on integration of comprehensive concepts. The objective of this survey paper is to present a platform such that it is not only beneficial for beginners who want to pursue research in this area, but also target current researchers developing solutions for such confined and hostile environments. Furthermore, the application of WSN for underground mines has been categorized followed by real, and simulation-based studies and the significant implications for wireless communications and monitoring systems in the underground mines have been discussed in details.

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26

Zorzi, M. "Wireless sensor networks." IEEE Wireless Communications 11, no. 6 (December 2004): 2. http://dx.doi.org/10.1109/mwc.2004.1368890.

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27

Havinga, P., J. C. Hou, and Feng Zhao. "Wireless sensor networks." IEEE Wireless Communications 11, no. 6 (December 2004): 4–5. http://dx.doi.org/10.1109/mwc.2004.1368892.

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28

Stankovic, John A. "Wireless Sensor Networks." Computer 41, no. 10 (October 2008): 92–95. http://dx.doi.org/10.1109/mc.2008.441.

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29

Elson, Jeremy, and Kay Römer. "Wireless sensor networks." ACM SIGCOMM Computer Communication Review 33, no. 1 (January 2003): 149–54. http://dx.doi.org/10.1145/774763.774787.

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Cayirci, Erdal, Ramesh Govindan, Taieb Znati, and Mani Srivastava. "Wireless sensor networks." Computer Networks 43, no. 4 (November 2003): 417–19. http://dx.doi.org/10.1016/s1389-1286(03)00351-7.

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31

Agustí, Ramon, and Oriol Sallent. "Wireless Sensor Networks." International Journal of Wireless Information Networks 12, no. 1 (January 2005): 1–2. http://dx.doi.org/10.1007/s10776-005-5170-5.

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S, Sweta, and Balajee Maram. "Underwater Wireless Sensor Networks." JOIV : International Journal on Informatics Visualization 2, no. 1 (January 5, 2018): 10. http://dx.doi.org/10.30630/joiv.2.1.99.

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There are a plenty of unexploited resources that lies underwater that covers almost 75% of the earth.In order to utilise them,the ﬁeld of underwater wireless sensor networks (UWSN) is attracting the researchers to extend their thoughts in this field. The wireless sensor networks are heavy networks that consist of small low cost sensors that have a large amount of solving ability and energy resources which can be applicable in any type of irregular environments irrespective of changing conditions. Keeping in view of the real-time remote data transferring requirements, underwater acoustic sensor networks (UASN) has been recognised as a preferred network because it satisfies all aspects of data transfer. In UASN, the required availability and recycling of energy resources along with specified utilisation of data with the help of utilized sensor nodes for energy requirements that are necessary are done for the development of further theories in these contexts. Due to these causes, the maximum underwater resources utilisation techniques mainly depends on UAN (Underwater Acoustic Networks).Underwater wireless sensor networks (UWSNs) suitable for applications on submarine detection and monitoring,where nodes collect data with a mobile autonomous underwater vehicle (AUV) via optical communications, and applied accordingly to deal with further approaches. They provide continuous monitoring for various applications like ocean sampling network, pollution monitoring, submarine detection, disaster prevention etc.This paper particularly deals with a brief collection of the UWSN applications and some of the algorithms for the path finding in order to pass maximum valued information(VOI) among the different nodes.

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Itani, Wassim, Ayman Kayssi, and Ali Chehab. "Wireless Body Sensor Networks." International Journal of Reliable and Quality E-Healthcare 5, no. 2 (April 2016): 1–30. http://dx.doi.org/10.4018/ijrqeh.2016040101.

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In this paper, the authors provide a detailed overview and technical discussion and analysis of the latest research trends in securing body sensor networks. The core of this work aims at: (1) identifying the resource limitations and energy challenges of this category of wireless sensor networks, (2) considering the life-critical applications and emergency contexts that are encompassed by body sensor network services, and (3) studying the effect of these peculiarities on the design and implementation of rigorous and efficient security algorithms and protocols. The survey discusses the main advancements in the design of body sensor network cryptographic services (key generation and management, authentication, confidentiality, integrity, and privacy) and sheds the light on the prominent developments achieved in the field of securing body sensor network data in Cloud computing architectures. The elastic virtualization mechanisms employed in the Cloud, as well as the lucrative computing and storage resources available, makes the integration of body sensor network applications, and Cloud platforms a natural choice that is packed with various security and privacy challenges. The work presented in this paper focuses on Cloud privacy and integrity mechanisms that rely on tamper-proof hardware and energy-efficient cryptographic data structures that are proving to be well-suited for operation in untrusted Cloud environments. This paper also examines two crucial design patterns that lie at the crux of any successful body sensor network deployment which are represented in: (1) attaining the right balance between the degree, complexity, span, and strength of the cryptographic operations employed and the energy resources they consume. (2) Achieving a feasible tradeoff between the privacy of the human subject wearing the body sensor network and the safety of this subject. This is done by a careful analysis of the medical status of the subject and other context-related information to control the degree of disclosure of sensitive medical data. The paper concludes by presenting a practical overview of the cryptographic support in the main body sensor network development frameworks such and TinyOS and SPINE and introduces a set of generalized guideline patterns and recommendations for designing and implementing cryptographic protocols in body sensor network environments.

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Yu, Chang-Wu. "Wireless Rechargeable Sensor Networks." Energies 14, no. 23 (November 25, 2021): 7895. http://dx.doi.org/10.3390/en14237895.

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Mottola, Luca, and Gian Pietro Picco. "Programming wireless sensor networks." ACM Computing Surveys 43, no. 3 (April 2011): 1–51. http://dx.doi.org/10.1145/1922649.1922656.

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Akan, O. B., M. T. Isik, and B. Baykal. "Wireless passive sensor networks." IEEE Communications Magazine 47, no. 8 (August 2009): 92–99. http://dx.doi.org/10.1109/mcom.2009.5181898.

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Corke, Peter, Tim Wark, Raja Jurdak, Wen Hu, Philip Valencia, and Darren Moore. "Environmental Wireless Sensor Networks." Proceedings of the IEEE 98, no. 11 (November 2010): 1903–17. http://dx.doi.org/10.1109/jproc.2010.2068530.

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Marsh, David, Richard Tynan, Donal O’Kane, and Gregory M. P. O’Hare. "Autonomic wireless sensor networks." Engineering Applications of Artificial Intelligence 17, no. 7 (October 2004): 741–48. http://dx.doi.org/10.1016/j.engappai.2004.08.038.

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Eltoweissy, Mohamed, and Mohamed Younis. "Dependable Wireless Sensor Networks." Computer Communications 29, no. 2 (January 2006): 149–50. http://dx.doi.org/10.1016/j.comcom.2005.05.013.

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Kim, Dongkyun, Juan Carlos Cano, Wei Wang, Floriano De Rango, and Kun Hua. "Underwater Wireless Sensor Networks." International Journal of Distributed Sensor Networks 10, no. 4 (January 2014): 860813. http://dx.doi.org/10.1155/2014/860813.

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Muhammad, Sohail Sardar, Xuefen Wan, Yi Yang, Kausar Farzana, and Wasim Akbar Mohammad. "Wireless Underground Sensor Networks." International Journal of Performability Engineering 15, no. 11 (2019): 3042. http://dx.doi.org/10.23940/ijpe.19.11.p24.30423051.

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Li, Shancang, Hongjian Sun, Arumugam Nallanathan, Li Xu, Shanshan Zhao, and Qindong Sun. "Industrial Wireless Sensor Networks." International Journal of Distributed Sensor Networks 10, no. 8 (January 2014): 218050. http://dx.doi.org/10.1155/2014/218050.

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Coutinho, Rodolfo W. L., Azzedine Boukerche, Luiz F. M. Vieira, and Antonio A. F. Loureiro. "Underwater Wireless Sensor Networks." ACM Computing Surveys 51, no. 1 (April 14, 2018): 1–36. http://dx.doi.org/10.1145/3154834.

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Zhou, Ming-Tuo, and Hiroshi Harada. "Cognitive maritime wireless mesh/ad hoc networks." Journal of Network and Computer Applications 35, no. 2 (March 2012): 518–26. http://dx.doi.org/10.1016/j.jnca.2010.12.018.

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Ganesh, S., Sean Laurel Rex, and S. Arun Kumar. "Secured Wireless Automation using Wireless Sensor Networks." i-manager’s Journal on Wireless Communication Networks 2, no. 1 (June 15, 2013): 9–17. http://dx.doi.org/10.26634/jwcn.2.1.2306.

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Aysal, T. C., and K. E. Barner. "Sensor Data Cryptography in Wireless Sensor Networks." IEEE Transactions on Information Forensics and Security 3, no. 2 (June 2008): 273–89. http://dx.doi.org/10.1109/tifs.2008.919119.

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Rowaihy, Hosam, Matthew P. Johnson, Ou Liu, Amotz Bar-Noy, Theodore Brown, and Thomas La Porta. "Sensor-mission assignment in wireless sensor networks." ACM Transactions on Sensor Networks 6, no. 4 (July 2010): 1–33. http://dx.doi.org/10.1145/1777406.1777415.

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Cheng, Xiuzhen, Ding-Zhu Du, Lusheng Wang, and Baogang Xu. "Relay sensor placement in wireless sensor networks." Wireless Networks 14, no. 3 (January 4, 2007): 347–55. http://dx.doi.org/10.1007/s11276-006-0724-8.

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Li, Zimao, and Wenying Xiao. "Determining Sensor Locations in Wireless Sensor Networks." International Journal of Distributed Sensor Networks 11, no. 8 (January 2015): 914625. http://dx.doi.org/10.1155/2015/914625.

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Ulema, Mehmet, Jose Marcos Nogueira, and Barcin Kozbe. "Management of Wireless Ad Hoc Networks and Wireless Sensor Networks." Journal of Network and Systems Management 14, no. 3 (July 12, 2006): 327–33. http://dx.doi.org/10.1007/s10922-006-9033-x.

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