Coverage Maximization in Wireless Sensor Networks Using Minimal Exposure Path and Particle Swarm Optimization

Ernest Bonnah1, Shiguang Ju1, Wenpeng Cai1
1School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang, People’s Republic of China

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Wang, Z., Zhang, B., Wang, X., Jin, X., & Bai, Y. (2019). Improvements of multihop localization algorithm for wireless sensor networks. IEEE Systems Journal, 13, 365–376. https://doi.org/10.1109/jsyst.2018.2851782.

Sakthidharan, G. R., & Chitra, S. (2012). A survey on wireless sensor network: An application perspective. In International conference on updated 5/02 computer communication and informatics. https://doi.org/10.1109/iccci.2012.6158870.

Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: A survey. Computer Networks, 38, 393–422. https://doi.org/10.1016/s1389-1286(01)00302-4.

Veltri, G., Huang, Q., Gang, Q., & Potkonjak, M. (2003). Minimal and maximal exposure path algorithms for wireless embedded sensor networks. In International conference on embedded networked sensor systems. https://doi.org/10.1145/958495.958497.

Megerian, S., Koushanfar, F., Qu, G., Veltri, G., & Potkonjak, M. (2002). Exposure in wireless sensor networks: Theory and practical solutions. Wireless Networks, 8, 443–454. https://doi.org/10.1023/a:1016586011473.

Binh, H. T. T., Binh, N. T. M., Ngoc, N. H., Ly, D. T. H., & Nghia, N. D. (2018). Efficient approximation approaches to minimal exposure path problem in probabilistic coverage model for wireless sensor networks. Applied Soft Computing, 76, 726–743. https://doi.org/10.1016/j.asoc.2018.12.022.

Mavrogoirgou, A., Kiourtis, A., Touloupou, M., Kapassa, E., & Kyriazis, D. (2019). Internet of medical things (IoMT): Acquiring and transforming data into HL7 FHIR through 5G network slicing. Emerging Science Journal, 3, 64–77. https://doi.org/10.28991/esj-2019-01170.

Kalistratov, D. (2019). Wireless video monitoring of the megacities transport infrastructure. Civil Engineering Journal, 5, 1033–1040. https://doi.org/10.28991/cej-2019-03091309.

Zhang, L., Chen, X., Fan, J., Wang, D., & Lin, C. K. (2015). The minimal exposure path in mobile wireless sensor network. In Seventh international symposium on parallel architectures. https://doi.org/10.1109/paap.2015.24.

Meguerdichian, S., Slijepcevic, S., Karayan, V., Potkonjak, M., & Potkonjak, M. (2001). Localized algorithms in wireless ad-hoc networks: Location discovery and sensor exposure. In International symposium on mobile ad hoc networking and computing (pp. 106–116). https://doi.org/10.1145/501431.501432.

Tuba, E., Tuba, M., & Beko, M. (2017). Mobile wireless sensor networks coverage maximization by firefly algorithm. Presented at the Radioelektronika. https://doi.org/10.1109/radioelek.2017.7937592.

Aziz, N. A. B. A., Mohemmed, A. W., & Sagar, B. S. D. (2007). Particle swarm optimization and Voronoi diagram for wireless sensor networks coverage optimization. In International conference on intelligent and advanced systems (pp. 961–965). https://doi.org/10.1109/icias.2007.4658528.

Hashemi, S. M., & Rahmani, I. (2018). Numerical comparison of the performance of genetic algorithm and particle swarm optimization in excavations. Civil Engineering Journal, 4, 2186–2196. https://doi.org/10.28991/cej-03091149.

Uysal, O., & Bulkan, S. (2008). Comparison of genetic algorithm and particle swarm optimization for bicriteria permutation flowshop scheduling problem. International Journal of Computational Intelligence Research, 4, 159–175. https://doi.org/10.5019/j.ijcir.2008.135.

Zhang, Q., & Cheng, M. (2014). A node localization algorithm for wireless sensor network based on improved particle swarm optimization. Lecture Notes in Electrical Engineering, 237, 135–144. https://doi.org/10.1007/978-3-319-01273-5_14.

Li, C., Zhang, Q., & Long-yao, Z. (2017). Research on wireless sensor network coverage based on improved particle swarm optimization algorithm. In 2017 International conference on computer network, electronic and automation (ICCNEA). https://doi.org/10.1109/iccnea.2017.76.

Gupta, N., Kumar, N., & Jain, S. (2017). Coverage problem in wireless sensor networks: A survey. In International conference on signal processing. https://doi.org/10.1109/scopes.2016.7955741.

Kumari, P., & Singh, Y. (2012). Delaunay triangulation coverage strategy for wireless sensor networks. In International conference on computer communication & informatics. https://doi.org/10.1109/iccci.2012.6158874.

Adlakha, S, & Srivastava, M. (2003). Critical density thresholds for coverage in wireless sensor networks. In Wireless communications & networking, WCNC. https://doi.org/10.1109/wcnc.2003.1200628.

Meguerdichian, S., Koushanfar, F., Potkonjak, M., & Srivastava, M. B. (2001). Coverage problems in wireless ad-hoc sensor networks. In Proceedings IEEE INFOCOM 2001. https://doi.org/10.1109/infcom.2001.916633.

Clouqueur, T., Phipatanasuphorn, V., Ramanathan, P., & Saluja, K. K. (2003). Sensor deployment strategy for detection of targets traversing a region. Mobile Networks & Applications, 8, 453–461. https://doi.org/10.1145/570743.570745.

Sabor, N., Abo-Zahhad, M., Ahmed, S. M., & Sasaki, S. (2014). Coverage maximization in mobile wireless sensor networks utilizing immune node deployment algorithm. In Electrical and computer engineering. https://doi.org/10.1109/ccece.2014.6901069.