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Journal articles on the topic 'Wireless mesh networks'

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Published: 4 June 2021

Last updated: 4 February 2022

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1

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.

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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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2

Malik, Ritu, Meenakshi Mittal, Isha Batra, and Chander Kiran. "Wireless Mesh Networks (WMN)." International Journal of Computer Applications 1, no. 23 (February 25, 2010): 68–76. http://dx.doi.org/10.5120/533-697.

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3

Glass, Steve, Marius Portmann, and Vallipuram Muthukkumarasamy. "Securing Wireless Mesh Networks." IEEE Internet Computing 12, no. 4 (July 2008): 30–36. http://dx.doi.org/10.1109/mic.2008.85.

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4

Qiu, Lili, Paramvir Bahl, Ananth Rao, and Lidong Zhou. "Troubleshooting wireless mesh networks." ACM SIGCOMM Computer Communication Review 36, no. 5 (October 10, 2006): 17–28. http://dx.doi.org/10.1145/1163593.1163597.

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5

Salem, N. B., and J. P. Hubaux. "Securing wireless mesh networks." IEEE Wireless Communications 13, no. 2 (April 2006): 50–55. http://dx.doi.org/10.1109/mwc.2006.1632480.

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6

Wicaksono, Arief Ikhwan, Rama Sahtyawan, and Agung Priyanto. "Komparasi Analisa Kinerja Mesh Interface Dan Bridge Interface Pada Wireless WDS Mesh Network." JISKA (Jurnal Informatika Sunan Kalijaga) 5, no. 1 (May 19, 2020): 36. http://dx.doi.org/10.14421/jiska.2020.51-05.

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Wireless mesh networking provides a solution to the problem of network distribution that has been constrained by cable networks and wireless networks that are not directly related to other wireless networks. Some of the advantages of wireless mesh technology include extended coverages, robustness, self-configuration, easy maintenance, and low cost. Based on the problems described in the previous paragraph, this research will analyze the performance of two wireless mesh distribution methods using several topology scenarios which will later be considered to affect the quality of network distribution WDS Mesh distribution methods that will be compared in this study are WDS Mesh with Mesh Interface, and WDS Mesh with Bridge Interface. Evaluation of the two methods will be conducted periodically to get the results of the analysis which will be used to do re-configuring to maximize the features and advantages of mesh technology in maintaining reliable network quality.

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Tian, Qi Ming, and Hao Yu Meng. "Analysis and Comparison of Routing Metrics for Multi-Interface Wireless Mesh Networks." Advanced Materials Research 268-270 (July 2011): 1856–61. http://dx.doi.org/10.4028/www.scientific.net/amr.268-270.1856.

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The development of wireless broadband access in multimedia field has a higher requirement on wireless mesh networks’ performance. The design of routing metric is the key to improve the performance of wireless mesh networks. How to make full use of multi-interface technology in routing metric design to improve the network capacity has become a research focus. This article first analyzes the requirements of multi-interface wireless mesh networks on routing metric design, then analyzes strengths and weaknesses of nine routing metrics applied in wireless mesh networks currently, and finally compares the conditions of nine routing metrics capturing different performance indicators of wireless networks. As routing metrics like WCETT, MIC, WCETT-LB, IAWARE, ILA, MI and IDA all take channel interference problems into account, they are more suitable for multi-interface wireless mesh networks.

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Alabady, Salah A., and M. F. M. Salleh. "Overview of Wireless Mesh Networks." Journal of Communications 8, no. 9 (2013): 586–99. http://dx.doi.org/10.12720/jcm.8.9.586-599.

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9

Hassan, Mahbub, Sajal Das, Prasant Mohapatra, and Charles Perkins. "Wireless Mesh Networks [Guest Editorial]." IEEE Communications Magazine 45, no. 11 (November 2007): 62–63. http://dx.doi.org/10.1109/mcom.2007.4378322.

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10

Kim, Kyu-Han, and Kang G. Shin. "Self-Reconfigurable Wireless Mesh Networks." IEEE/ACM Transactions on Networking 19, no. 2 (April 2011): 393–404. http://dx.doi.org/10.1109/tnet.2010.2096431.

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11

Li, Bo, Qian Zhang, Jiangchuan Liu, Chonggang Wang, Xudong Wang, and Károly Farkas. "Advances in Wireless Mesh Networks." Mobile Networks and Applications 13, no. 1-2 (April 2008): 1–5. http://dx.doi.org/10.1007/s11036-008-0055-3.

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12

Akyildiz, Ian F., Xudong Wang, and Weilin Wang. "Wireless mesh networks: a survey." Computer Networks 47, no. 4 (March 2005): 445–87. http://dx.doi.org/10.1016/j.comnet.2004.12.001.

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13

Jin, YanLiang, HuiJun Miao, Quan Ge, and Chi Zhou. "Expected Transmission Energy Route Metric for Wireless Mesh Senor Networks." International Journal of Digital Multimedia Broadcasting 2011 (2011): 1–7. http://dx.doi.org/10.1155/2011/947396.

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Mesh is a network topology that achieves high throughput and stable intercommunication. With great potential, it is expected to be the key architecture of future networks. Wireless sensor networks are an active research area with numerous workshops and conferences arranged each year. The overall performance of a WSN highly depends on the energy consumption of the network. This paper designs a new routing metric for wireless mesh sensor networks. Results from simulation experiments reveal that the new metric algorithm improves the energy balance of the whole network and extends the lifetime of wireless mesh sensor networks (WMSNs).

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14

Shang, Zhi Jun, Shi Jie Cui, and Qiu Shi Wang. "Network Calculus Based Dimensioning for Industrial Wireless Mesh Networks." Applied Mechanics and Materials 303-306 (February 2013): 1989–95. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.1989.

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Wireless Mesh network is widely adopted in both wideband mobile communication network and short distance RF industrial network. As for the latter field, network robustness and real-time are two important issues. Network dimensioning is therefore required for this kind of networks. We models wireless mesh network as four tuples and present a topology transform methodology to change the mesh topology to a cluster tree. Research results from network calculus theory are then applied to obtain key merits such as buffer requirement, bandwidth requirement and end to end delay bound.

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15

Singh, Rajinder, and Er Nidhi Bhalla. "Path Mechanism to reduce packet data loss in Wireless Mesh Networks." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 3 (June 30, 2012): 134–41. http://dx.doi.org/10.24297/ijct.v2i3c.6779.

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A wireless mesh network (WMN) is a communicationnetwork made up of radio nodes organized in a meshtopology. Wireless mesh network often consists of meshclients, mesh routers and gateways. A wireless Mesh networkuses multi-hop communication. Due to multi-hop architectureand wireless nature, Mesh networks are vulnerable to varioustypes of Denial of Services attack. It suffers from Packetdropping at Routing layer. Client nodes are unable to getservices from gateway nodes, hence network gets down. ThePaper emphasis on the developing of a path protocol when theminimun possible packet dropp occurs in wireless meshnetworks. Due to packet droping occurrences the networkperformance degrades. In the work, we have evaluated thePerformance of WMN under packet dropping on the basis oftheir throughput and Data packet loss.

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Hanczewski, Sławomir, Maciej Sobieraj, Michał Dominik Stasiak, and Joanna Weissenberg. "Queuing models for wireless mesh networks." Image Processing & Communications 18, no. 4 (December 1, 2013): 21–31. http://dx.doi.org/10.2478/v10248-012-0090-3.

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Abstract In this paper we discuss a proposition of various applications of new queueing models that have been developed within the CARMNET project in nodes of the mesh network. These models allow characteristics of systems that service multi-rate traffic to be determined, e.g., the average queue length or the average waiting time for calls of a given class. The proposed models can be used to design, analyse and optimize multiservice networks

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17

Fang, Chang, Zhifang Feng, and Chao Zuo. "Utilization and Balance in Channel Assignment for Rural Wireless Mesh Networks." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 6 (October 20, 2018): 800–808. http://dx.doi.org/10.20965/jaciii.2018.p0800.

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Wireless mesh networks with directional antennas are expected to be a new promising technology and an economic approach for providing wireless broadband services in rural areas. In these networks, the effective use of multiple non-overlapping channels can significantly enhance the network capacity by allowing more concurrent transmissions. However, the performances of wireless mesh networks are severely degraded by interference between links with overlapping channels in nearby areas. In this paper, we address the issue of joint utilization and balance in channel assignment for rural wireless mesh networks. We design a new channel assignment framework with the goal of optimizing the channel resource utilization across the entire network while taking balanced allocation into account. This balanced channel assignment allows for the cost-effective reuse of channels without a consequent loss of quality in the rural wireless mesh networks. We also evaluate the proposed framework on some Cartesian product graphs that are popular interconnection network topologies. The framework guarantees that these topologies require a small number of channels for balanced allocation.

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18

Katti, Sachin, Dina Katabi, Hari Balakrishnan, and Muriel Medard. "Symbol-level network coding for wireless mesh networks." ACM SIGCOMM Computer Communication Review 38, no. 4 (October 2008): 401–12. http://dx.doi.org/10.1145/1402946.1403004.

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19

Lv, Pin, Xudong Wang, and Ming Xu. "Virtual access network embedding in wireless mesh networks." Ad Hoc Networks 10, no. 7 (September 2012): 1362–78. http://dx.doi.org/10.1016/j.adhoc.2012.03.016.

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20

Assegie, Tsehay Admassu, and Pramod Sekharan Nair. "The performance of Gauss Markov’s mobility model in emulated software defined wireless mesh network." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 1 (April 1, 2020): 428. http://dx.doi.org/10.11591/ijeecs.v18.i1.pp428-433.

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Wireless mesh networks (WMNs) are a new trend in wireless communication promising greater flexibility, reliability, and performance over traditional wireless local area networks (WLANs).Test bed analysis and emulation plays an important role in evaluation of wireless networks and node mobility is the prominent feature of next generation wireless network. In this paper we will focus on the models of wireless station mobility and discuss their importance within the software defined wireless mesh network performance evaluation. The existing mobility models for the next generation software defined wireless network will be explored. Finlay, we will present the mobility models in the mininet-Wi-Fi test bed, and evaluate the performance of the models

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21

Fendji, Jean Louis Ebongue Kedieng, Christopher Thron, and Jean Michel Nlong. "A Metropolis Approach for Mesh Router Nodes placement in Rural Wireless Mesh Networks." Journal of Computers 10, no. 2 (2015): 101–14. http://dx.doi.org/10.17706/jcp.10.2.101-114.

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22

MA, LIANG, and MIESO K. DENKO. "ENHANCED ROUTING METRIC FOR LOAD-BALANCING IN WIRELESS MESH NETWORKS." Journal of Interconnection Networks 08, no. 04 (December 2007): 407–26. http://dx.doi.org/10.1142/s0219265907002107.

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Wireless mesh networks (WMNs) have been drawing significant attention in recent years due to their flexibility in providing extensive wireless backbone. WMNs typically consist of mesh routers and mesh clients with each node operating not only as a host but also as a router. Due to the traffic patterns in WMNs, load-balancing becomes an important issue and may degrade the performance of the entire network. This paper proposes a routing metric known as Weighted Cumulative Expected Transmission Time with Load-Balancing (WCETT-LB) for wireless mesh networks. WCETTT-LB enhances the basic Weighted Cumulative Expected Transmission Time (WCETT) by incorporating load-balancing into the routing metric. Unlike existing schemes, WCETT-LB implements load-balancing at mesh routers. WCETT-LB provides a congestion-aware routing and traffic splitting mechanism to achieve global load-balancing in the network. By conducting an extensive simulation experiments, the result shows that WCETT-LB outperforms the existing routing metrics in load-balancing in terms of achieving high packet delivery ratio, low average end-to-end delay and low average congestion level in wireless mesh networks. The qualitative and quantitative analysis also show the significance of the proposed scheme.

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23

Muhammad, Dicky, Gita Indah Hapsari, and Giva Andriana Mutiara. "An Experimental Connectivity Performance of Simple Wireless Mesh Implementation Using Wireless Distribution System (WDS)." IJAIT (International Journal of Applied Information Technology) 1, no. 02 (August 14, 2017): 18–27. http://dx.doi.org/10.25124/ijait.v1i02.871.

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Today wireless technology grows rapidly, especially in the field of telecommunications and communications. Computer networks now widely utilizes wireless. Wireless Mesh Network is one of the method which is use to communicate computer wirelessly. One important factor in application of wireless network is how to extend wireless signal coverage. Wireless Distribution System is one way to expand the wireless network by mean of wireless interconnection of access point on the network IEEE 8022.11. This study suggests how to build a simple wireless computer network using WDS technology and describes connectivity performance and its signal coverage. The test result of connectivity performance shows that the connectivity between two computers work properly for reliability and multi SSID testing. However, the connectivity was not success in multichannel testing. Furthermore the test result of coverage shows that the range of wireless signal coverage reaches 39 meters with different circumstance room.

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24

Owczarek, Piotr, and Piotr Zwierzykowski. "Metrics in routing protocol for wireless mesh networks." Image Processing & Communications 18, no. 4 (December 1, 2013): 7–20. http://dx.doi.org/10.2478/v10248-012-0089-9.

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Abstract The interest in services offered by wireless network has been growing for many years. It has encouraged the development of wireless technologies. New solutions are able to satisfy the ever-increasing demands concerning wireless services. It is also evident in the diversification of quality assessment methods employed with reference to connections used in such networks. One of the basic elements used in connection quality assessment are metrics. The use of metrics is directly linked to the type of the routing protocol applied in a given network. The selection of a given routing protocol is often determined by its specific properties that might be advantageous in a certain network type, or that are important in terms of the type or scope of services provided. Therefore, it is easy to identify a relationship between metrics and the area of application of a given routing protocol. The significance and diversity of metrics is also reflected inWireless Mesh Networks (WMNs). The proposed paper presents a review of the current state-of-the-art routing metrics for Ad-hoc and WMN networks

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25

Kumari, Usha, and Udai Shankar. "COORDINATED DISTRIBUTED SCHEDULING IN WIRELESS MESH NETWORK." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 3, no. 3 (November 22, 2012): 368–74. http://dx.doi.org/10.24297/ijct.v3i3a.2940.

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IEEE 802.16 based wireless mesh networks (WMNs) are a promising broadband access solution to support flexibility, cost effectiveness and fast deployment of the fourth generation infrastructure based wireless networks. Reducing the time for channel establishment is critical for low latency/interactive Applications. According to IEEE 802.16 MAC protocol, there are three scheduling algorithms for assigning TDMA slots to each network node: centralized and distributed the distributed is further divided into two operational modes coordinated distributed and uncoordinated distributed. In coordinated distributed scheduling algorithm, network nodes have to transmit scheduling message in order to inform other nodes about their transfer schedule. In this paper a new approach is proposed to improve coordinated distributed scheduling efficiency in IEEE 802.16 mesh mode, with respect to three parameter Throughput, Average end to end delay and Normalized Overhead. For evaluating the proposed networks efficiency, several extensive simulations are performed in various network configurations and the most important system parameters which affect the network performance are analyzed

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26

Yang Xiao. "Accountability for wireless LANs, ad hoc networks, and wireless mesh networks." IEEE Communications Magazine 46, no. 4 (April 2008): 116–26. http://dx.doi.org/10.1109/mcom.2008.4481350.

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27

Jiang, Haifeng, Renke Sun, and Shanshan Ma. "Energy Optimized Routing Algorithm for Hybrid Wireless Mesh Networks in Coal Mine." International Journal of Distributed Sensor Networks 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/237697.

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Mesh clients in hybrid wireless mesh networks can participate in networking and routing. When the backbone transmission network is broken, the mesh client can route and forward the data, which will eliminate the absolute dependence on the backbone network of traditional infrastructure wireless mesh networks in mine emergency rescue. However, the energy of mesh clients is limited. Based on the comprehensive consideration of the efficiency and balance of energy consumption of mesh clients for data transmission, a new energy cost criterion is designed. Energy optimized and fault recovered routing algorithm is proposed on account of different network states. At last, the simulation analysis on the performance of routing algorithm is conducted and compared with typical routing algorithms. Simulation results show that the algorithm has effectively extended the network lifetime and achieved optimized combination of energy efficiency and energy balance. When mesh routers in the backbone network are failed, this algorithm can rapidly rebuild the route and shows strong capacity of routing recovery.

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28

Velentina Devi, Longjam, Sheeba Praveen, and Prof Rizwan Beg. "Standard Activities of Wireless Mesh Networks." International Journal of Computer Applications 12, no. 10 (December 1, 2011): 12–16. http://dx.doi.org/10.5120/1721-2312.

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29

LIU, David Q., and Jason BAKER. "Streaming Multimedia over Wireless Mesh Networks." International Journal of Communications, Network and System Sciences 01, no. 02 (2008): 177–86. http://dx.doi.org/10.4236/ijcns.2008.12022.

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30

S.J., Ghule, and B. M. Patil. "Improving Performance of Wireless Mesh Networks." International Journal of Computer Applications 73, no. 21 (July 29, 2013): 27–31. http://dx.doi.org/10.5120/13019-0107.

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31

Mountassir, Tarik, Bouchaib Nassereddine, Abdelkrim Haqiq, and Samir Bennani. "Wireless Mesh Networks Topology Auto Planning." International Journal of Computer Applications 52, no. 2 (August 30, 2012): 27–33. http://dx.doi.org/10.5120/8175-1494.

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32

Jaishree, M. V. "Optimized Self Reconfigurable Wireless Mesh Networks." IOSR Journal of Engineering 02, no. 04 (April 2012): 656–62. http://dx.doi.org/10.9790/3021-0204656662.

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33

Ashraf, Usman. "Capacity Augmentation in Wireless Mesh Networks." IEEE Transactions on Mobile Computing 14, no. 7 (July 1, 2015): 1344–54. http://dx.doi.org/10.1109/tmc.2014.2357802.

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34

Grover, Payal, Paramjeet Singh, and Shaveta Rani. "Congestion Reduction in Wireless Mesh Networks." International Journal of Computer Applications 124, no. 13 (August 18, 2015): 41–45. http://dx.doi.org/10.5120/ijca2015905750.

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35

Yu, Jinqiang, and Wai-Choong Wong. "Optimal Association in Wireless Mesh Networks." IEEE Transactions on Vehicular Technology 64, no. 5 (May 2015): 2084–96. http://dx.doi.org/10.1109/tvt.2014.2339214.

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36

Ishmael, Johnathan, Sara Bury, Dimitrios Pezaros, and Nicholas Race. "Deploying Rural Community Wireless Mesh Networks." IEEE Internet Computing 12, no. 4 (July 2008): 22–29. http://dx.doi.org/10.1109/mic.2008.76.

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37

Benyamina, Djohara, Abdelhakim Hafid, and Michel Gendreau. "Wireless Mesh Networks Design — A Survey." IEEE Communications Surveys & Tutorials 14, no. 2 (2012): 299–310. http://dx.doi.org/10.1109/surv.2011.042711.00007.

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38

Priesler (Moreno), M., and A. Reichman. "Resource Allocation in Wireless Mesh Networks." Journal of Ambient Wireless Communications and Smart Environments (AMBIENTCOM) 1, no. 1 (2016): 25–48. http://dx.doi.org/10.13052/ambientcom2246-3410.112.

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39

Akyildiz, I. F., and Xudong Wang. "A survey on wireless mesh networks." IEEE Communications Magazine 43, no. 9 (September 2005): S23—S30. http://dx.doi.org/10.1109/mcom.2005.1509968.

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40

Americo Guedes, Diego, Artur Ziviani, and Kleber Vieira Cardoso. "Dynamic Labeling in Wireless Mesh Networks." IEEE Latin America Transactions 11, no. 3 (May 2013): 948–54. http://dx.doi.org/10.1109/tla.2013.6568838.

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41

Neishaboori, A., and G. Kesidis. "Wireless mesh networks based on CDMA." Computer Communications 31, no. 8 (May 2008): 1513–28. http://dx.doi.org/10.1016/j.comcom.2008.01.020.

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42

Jun, Jangeun, and Mihail L. Sichitiu. "MRP: Wireless mesh networks routing protocol." Computer Communications 31, no. 7 (May 2008): 1413–35. http://dx.doi.org/10.1016/j.comcom.2008.01.038.

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43

Chen, Weiwei, and Chin-Tau Lea. "Oblivious routing in wireless mesh networks." Wireless Networks 22, no. 7 (October 24, 2015): 2337–53. http://dx.doi.org/10.1007/s11276-015-1092-z.

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Ali, Saqib, Anjum Naveed, Md Asri Bin Ngadi, and Junaid Ahsenali Chaudhry. "Interference Nomenclature in Wireless Mesh Networks." Wireless Personal Communications 75, no. 4 (October 24, 2013): 1983–2003. http://dx.doi.org/10.1007/s11277-013-1449-5.

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45

Gamer, Thomas, Lars Völker, and Martina Zitterbart. "Differentiated security in wireless mesh networks." Security and Communication Networks 4, no. 3 (February 22, 2011): 257–66. http://dx.doi.org/10.1002/sec.163.

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46

Xie, Bin, Yingbing Yu, Anup Kumar, and Dharma P. Agrawal. "Load-balanced mesh router migration for wireless mesh networks." Journal of Parallel and Distributed Computing 68, no. 6 (June 2008): 825–39. http://dx.doi.org/10.1016/j.jpdc.2008.02.002.

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47

Hasegawa, Go, Toshiaki Hidekuma, Masahiro Sasabe, and Hirotaka Nakano. "Power Control Methods for Improving Spatial Reuse in TDMA-Based Wireless Mesh Networks." ISRN Communications and Networking 2011 (August 15, 2011): 1–12. http://dx.doi.org/10.5402/2011/970943.

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Wireless Mesh Networks (WMNs) have attracted a great deal of interest in recent years as a cost-effective method to provide a wireless network infrastructure. To accommodate various types of application traffic in WMNs, improvement of network capacity is one of the most critical issues. The efficiency of wireless network resource utilization decreases due to radio interference when multiple transmissions occur simultaneously in an interference region. To resolve this problem, we focus on the transmission power control of mesh nodes. We expect to improve spatial reuse by applying power control because this decreases radio interference between wireless links. In this paper, we propose power control methods of mesh nodes for improving spatial reuse in TDMA-based wireless mesh networks. We first propose two types of power control methods, which employ a simple threshold-based mechanism. Furthermore, we develop an additional method that suppresses the unnecessary increase in path length associated with limiting the increase in the hop count to the nearby mesh nodes. Numerical evaluation results reveal that the proposed method decreases the frame length by up to 27% with non sensitive parameter setting.

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48

Gerk, Livia F., and Débora C. Muchaluat-Saade. "Voice Traffic Service Guarantee in Wireless Mesh Networks Based on IEEE 802.11e." International Journal of Business Data Communications and Networking 8, no. 4 (October 2012): 49–66. http://dx.doi.org/10.4018/jbdcn.2012100104.

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The IEEE 802.11e standard is mostly concerned with traffic differentiation in single-hop infrastructured wireless networks. Wireless mesh networks use several wireless hops in order to forward packets to their destination. A significant issue is that the standard does not map network characteristics into the access protocol parameters it provides. This paper investigates different configurations of the IEEE 802.11e access parameters in wireless mesh networks and proposes two configuration settings. Both proposals provide voice traffic service guarantee without significantly degrading the performance of other multimedia traffic classes, as demonstrated by simulation experiment results.

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49

van Rensburg, Roger, Bruce Mellado, and Cesar Augusto Marin Tobon. "Wireless mesh network data communications and reliability analysis for anti-theft application deployment in educational institutions." Journal of Engineering, Design and Technology 17, no. 3 (June 3, 2019): 474–89. http://dx.doi.org/10.1108/jedt-08-2018-0138.

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Purpose The purpose of this study is to locally develop low-cost wireless mesh networks for reliable data communications to devices that prevent the theft of these devices in learning institutions of South Africa. Design/methodology/approach A network test-bench was developed where millions of packets were transmitted and logged between interconnected nodes to analyze the quality of the network’s service in a harsh indoor building environment. Similar methodologies in “big data” analysis as found in particle physics were adopted to analyze the network’s performance and reliability. Findings The results from statistical analysis reveal the quality of service between multiple asynchronous transmitting nodes in the network and compared with the wireless technology routing protocol to assess coverage in large geographical areas. The mesh network provides stable data communications between nodes with the exception of reliability degradation in some multi-hopping routes. Conclusions are presented to determine whether the underlining mesh network technology will be deployed to protect devices against theft in educational institutions of South Africa. Research limitations/implications The anti-theft application will focus on proprietary firmware development with a reputable tablet manufacturer to render the device inoperable. Data communications of devices to the network will be monitored and controlled from a central management system. The electronics embedding the system-on-chip will be redesigned and developed using the guidelines stipulated by the chip manufacturer. Originality/value Design and development of low-cost wireless mesh networks to protect tablets against theft in institutions of digitized learning. The work presents performance and reliability metrics of a low-power wireless mesh wireless technology developed in a harsh indoor building environment.

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Han, Guangzhi, Haifeng Jiang, Liansheng Lu, Shanshan Ma, and Shuo Xiao. "Physarum-inspired multi-parameter adaptive routing protocol for coal mine hybrid wireless mesh networks." International Journal of Distributed Sensor Networks 14, no. 2 (February 2018): 155014771875921. http://dx.doi.org/10.1177/1550147718759217.

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Abstract:

Hybrid wireless mesh networks are suitable for complex environment communication in coal mine. Mesh clients with application service and routing function in hybrid wireless mesh networks can form a highly robust hybrid network with mesh routers. The processes of nutrient flux transfer and path choice in Physarum network are similar to data transmission and routing selection in hybrid wireless mesh networks. In this article, we use Physarum-inspired autonomic optimization model to design a Physarum-inspired multi-parameter adaptive routing protocol to improve the service quality of coal mine hybrid wireless mesh networks. Physarum-inspired multi-parameter adaptive routing protocol has achieved distributed routing decision by drawing the hybrid wireless mesh network parameters into Poisson’s equation of Physarum-inspired autonomic optimization model to measure the quality of link and implements two adjustment strategies to make the protocol more adaptive. The resource-dependent adjustment, which considers the irreversible energy consumption and recoverable buffer occupation, makes the energy consumption problem prominent when there is a lack of energy. The position-dependent adjustment makes routing decision efficient according to the load of different positions, which is caused by many-to-one data transmission model in coal mine. Based on NS2, simulation experiments are performed to evaluate the performance of Physarum-inspired multi-parameter adaptive routing protocol, and the results are compared with those of ad hoc on-demand distance vector, HOPNET, ANT-DSR, and Physarum-inspired routing protocols. The experimental results show that the route path selected by Physarum-inspired multi-parameter adaptive routing protocol is better than those selected by the other four protocols in the performance of average end-to-end delay and delivery ratio. The balance of energy consumption and network load is achieved and the network lifetime is effectively prolonged when using Physarum-inspired multi-parameter adaptive routing protocol.

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