Hybrid Algorithm for Node Deployment with the Guarantee of Connectivity in Wireless Sensor Networks
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Kumar, K. A., & Ramudu, K. (2019). Precision Agriculture using Internet of Things and Wireless sensor Networks. Precision Agriculture , 7(03).
Harb, H., Idrees, A. K., Jaber, A., Makhoul, A., Zahwe, O., & Taam, M. A. (2017). Wireless sensor networks: A big data source in Internet of Things. International Journal of Sensors Wireless Communications and Control , 7(2), 93-109.
Aponte-Luis, J., Gomez-Galan, J. A.,Gomez-Bravo, F., Sanchez-Raya, M., AlcinaEspigado, J., & Teixido-Rovira, P. M. (2018). An efficient wireless sensor network for industrial monitoring and control. Sensors , 18(1),182.
Guhan, R., Hari, U., & Ramachandran, B. (2019). Enhancement of QOS Parameters in Cluster-Based Wireless Sensor Network Using Cooperative MIMO. Wireless Communication Networks and Internet of Things, 187-195.
Jain, E. V., & Kumar, E. T. (2017). A review of node deployment techniques in wireless sensor network. International Research
Journal of Engineering and Technology, 4(8),1697-1702.
Chen, Y. N., Lin, W. H., & Chen, C. (2020). An effective sensor deployment scheme that ensures multilevel coverage of wireless sensor networks with uncertain properties. Sensors, 20(7), 1831.
Cheng, W., Li, Y., Jiang, Y., & Yin, X. (2016). Regular deployment of wireless sensors to achieve connectivity and information coverage. Sensors, 16(8), 1270.
Tripathi, A., Gupta, H. P., Dutta, T., Mishra, R., Shukla, K. K., & Jit, S. (2018). Coverage and connectivity in WSNs: A survey, research issues and challenges. IEEE Access, 6, 26971-26992.
Farsi, M., Elhosseini, M. A., Badawy, M., Ali, H. A., & Eldin, H. Z. (2019). Deployment techniques in wireless sensor networks, coverage and connectivity: a survey. IEEE Access, 7, 28940-28954.
Cheng, X., Narahari, B., Simha, R., Cheng,
M. X., & Liu, D. (2003). Strong minimum energy topology in wireless sensor networks: NP-completeness and heuristics. IEEE Transactions on mobile computing, 2(3), 248-256
Chang, J. H., & Tassiulas, L. (2004). Maximum lifetime routing in wireless sensor networks. IEEE/ACM Transactions on networking, 12(4), 609-619.
Lanza-Gutierrez, J. M., Caballe, N., GomezPulido, J. A., Crawford, B., & Soto, R. (2019). Toward a Robust Multi-Objective Metaheuristic for Solving the Relay Node Placement Problem in Wireless Sensor Networks. Sensors, 19(3), 677.
Mirjalili, S. (2015). The ant lion optimizer. Advances in engineering software, 83, 80-98.
Tsai, C. W., Tsai, P. W., Pan, J. S., & Chao, H. C. (2015). Metaheuristics for the deployment problem of WSN: A review. Microprocessors and Microsystems, 39(8), 1305-1317.
ZainEldin, H., Badawy, M., Elhosseini, M., Arafat, H., & Abraham, A. (2020). An improved dynamic deployment technique based-on genetic algorithm (IDDT-GA) for maximizing coverage in wireless sensor networks. Journal of Ambient Intelligence and Humanized Computing, 1-18.
Panag, T. S., & Dhillon, J. S. (2019). Maximal coverage hybrid search algorithm for deployment in wireless sensor networks. Wireless Networks, 25(2), 637-652.
Wang, Z., Xie, H., He, D., & Chan, S. (2019). Wireless Sensor Network Deployment Optimization Based on Two Flower Pollination Algorithms. IEEE Access, 7, 180590-180608.
Yue, Y., Cao, L., & Luo, Z. (2019). Hybrid Artificial Bee Colony Algorithm for Improving the Coverage and Connectivity of Wireless Sensor Networks. Wireless Personal Communications, 108(3), 1719-1732.
Wang, L., Wu, W., Qi, J., & Jia, Z. (2018). Wireless sensor network coverage optimization based on whale group algorithm.
Computer Science and Information Systems, 15(3), 569-583.
OZDAG, R., & CANAYAZ, M. (2017). A new dynamic deployment approach based on whale optimization algorithm in the optimization of coverage rates of wireless sensor networks. European Journal of Technic, 7(2).
Rebai, M., Snoussi, H., Hnaien, F., & Khoukhi, L. (2015). Sensor deployment optimization methods to achieve both coverage and connectivity in wireless sensor networks. Computers & Operations Research, 59, 11- 21.
Deng, X., Jiang, Y., Yang, L. T., Lin, M., Yi, L., & Wang, M. (2019). Data fusion based coverage optimization in heterogeneous sensor networks: A survey. Information Fusion, 52, 90-105.
Zhou, J., Zhang, Z., Tang, S., Huang, X., Mo, Y., & Du, D. Z. (2017). Fault-tolerant virtual backbone in heterogeneous wireless
sensor network. IEEE/Acm Transactions on Networking, 25(6), 3487-3499.
Abo-Zahhad, M., Sabor, N., Sasaki, S., & Ahmed, S. M. (2016). A centralized immuneVoronoi deployment algorithm for coverage maximization and energy conservation in mobile wireless sensor networks. Information Fusion, 30, 36-51.
Khoufi, I., Minet, P., Laouiti, A., & Mahfoudh, S. (2017). Survey of deployment algorithms in wireless sensor networks: coverage
and connectivity issues and challenges. International Journal of Autonomous and Adaptive Communications Systems. 10(4), 341-
Boukerche, A., & Sun, P. (2018). Connectivity and coverage based protocols for wireless sensor networks. Ad Hoc Networks, 80, 54-69.
Askarzadeh, A. (2016). A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm. Computers & Structures, 169, 1-12.
Sayed, G. I., Hassanien, A. E., & Azar, A. T. (2019). Feature selection via a novel chaotic crow search algorithm. Neural computing and applications, 31(1), 171-188.
Han, X., Xu, Q., Yue, L., Dong, Y., Xie, G., & Xu, X. (2020). An Improved Crow Search Algorithm Based on Spiral Search Mechanism for Solving Numerical and Engineering Optimization Problems. IEEE Access.
Dıaz, P., Perez-Cisneros, M., Cuevas, E., Avalos, O., Galvez, J., Hinojosa, S., & Zaldivar, D. (2018). An improved crow search
algorithm applied to energy problems. Energies, 11(3), 571.
Pham, D. T., & Castellani, M. (2009). The bees’ algorithm: modelling foraging behaviour to solve continuous optimization problems. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 223(12),
-2938.
Castellani, M., Pham, Q. T., & Pham, D. T. (2012). Dynamic optimisation by a modified bees algorithm. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 226(7), 956-971.
Pham, D. T., & Castellani, M. (2015). A comparative study of the Bees Algorithm as a tool for function optimisation. Cogent Engineering, 2(1), 1091540.
Al-Karaki, J. N., & Gawanmeh, A. (2017). The optimal deployment, coverage, and connectivity problems in wireless sensor networks: revisited. IEEE Access, 5, 18051- 18065.
Castellani, M., Otri, S., & Pham, D. T. (2019). Printed circuit board assembly time minimisation using a novel Bees Algorithm. Computers & Industrial Engineering, 133, 186-194.
Pham, D. T., Baronti, L., Zhang, B., & Castellani, M. (2018). Optimisation of Engineering Systems With the Bees Algorithm. International Journal of Artificial Life Research (IJALR) , 8(1), 1-15.
Akhlaq, M., Sheltami, T. R., & Shakshuki, E. M. (2014). C3: an energy-efficient protocol for coverage, connectivity and communication in WSNs. Personal and Ubiquitous Computing, 18(5), 1117-1133.
DOI: https://doi.org/10.31449/inf.v46i8.3370
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