The mobile sink can increase the efficiency of wireless sensor networks. It moves in a monitored environment and collects the network nodes information. Thus, by the sink we can balance the power consumption and increases the network lifetime. Determining path of the sink's movement is usually modeled as an optimization problem where finding optimal solutions require collecting value of all the network parameters at each moment and then solving the optimization model. Therefore, the optimization model requires a large amount of information processing and transmission, and consequently it is impractical and almost impossible. This paper proposes a decentralized algorithm for determining the itinerary planning of the sink based on the local information collected from the vicinity of the sink. The proposed algorithm decides based on the estimation of the remaining network lifetime and energy consumption around each candidate. The use of fuzzy TOPSIS in presenting a decentralized algorithm for planning the itinerary in wireless sensor networks is the idea proposed and implemented just in this paper. The simulation results show that the proposed algorithm can significantly improve the network lifetime.
[1] Rady, A., Shokair, M., El-Rabaie, E.S.M., Saad, W. and Benaya, A., "Energy-efficient routing protocol based on sink mobility for wireless sensor networks", IET Wireless Sensor Systems, Vol. 9, No. 6, pp.405-415. 2019.
[2] Messai, S., Aliouat, Z., Seba, H. and Boukerram, A., "Adaptive sink mobility for energy-efficient data collection in grid-based wireless sensor networks", International Journal of Ad Hoc and Ubiquitous Computing, Vol. 29(1-2), pp.41-49. 2018.
[3] Kim, C., Yim, Y., Yang, T., Kim, S. and Kim, S.H., "Multipath Management Scheme for Supporting Sink Mobility in Wireless Sensor Networks", In 2017 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1-6, 2017.
[4] Papadopoulos, G.Z., Kotsiou, V., Gallais, A., Chatzimisios, P. and Noel, T., "Low-power neighbor discovery for mobility-aware wireless sensor networks", Ad Hoc Networks, Vol. 48, pp. 66-79, 2016.
[5] Bouaziz, M. and Rachedi, A., "A survey on mobility management protocols in Wireless Sensor Networks based on 6LoWPAN technology", Computer Communications, Vol. 74, pp. 3-15, 2016.
[6] Tashtarian, F., Moghaddam, M.Y., Sohraby, K. and Effati, S., "ODT: Optimal deadline-based trajectory for mobile sinks in WSN: A decision tree and dynamic programming approach", Computer Networks, Vol. 77, pp. 128-143, 2015.
[7] Yun, Y., Xia, Y., Behdani, B. and Smith, J.C., "Distributed algorithm for lifetime maximization in a delay-tolerant wireless sensor network with a mobile sink", IEEE Transactions on Mobile Computing, Vol. 12, No. 10, pp. 1920-1930, 2012.
[8] Zhu, C., Zhang, S., Han, G., Jiang, J. and Rodrigues, J.J. "A Greedy Scanning Data Collection Strategy for Large-Scale Wireless Sensor Networks with a Mobile Sink," Sensors, vol. 16, no. 9, p. 1432, 2016.
[9] Alsaafin, A., Khedr, A.M. and Al Aghbari, Z., "Distributed trajectory design for data gathering using mobile sink in wireless sensor networks," AEU - International Journal of Electronics and Communications, vol. 96, pp. 1-12, 2018.
[10] Basagni, S., Carosi, A., Melachrinoudis, E., Petrioli, C. and Wang, Z.M., "Controlled sink mobility for prolonging wireless sensor networks lifetime", Wireless Networks, vol. 14, no. 6, pp. 831-858, 2008/12/01 2008.
[11] Khalily-Dermany, M. and Nadjafi-Arani, M.J., "Itinerary planning for mobile sinks in network-coding-based wireless sensor networks", Computer Communications, Vol. 111, pp. 1-13, 2017.
[12] Qadori, H.Q., Zulkarnain, Z.A., Hanapi, Z.M. and Subramaniam, S., "Multi-mobile agent itinerary planning algorithms for data gathering in wireless sensor networks: A review paper", International Journal of Distributed Sensor Networks, Vol. 13, No. 1, 2017
[13] Wang, J., Zhang, Y., Cheng, Z. and Zhu, X., "EMIP: energy-efficient itinerary planning for multiple mobile agents in wireless sensor network", Telecommunication Systems, Vol. 62, No. 1, pp.93-100, 2016.
[14] Vincze, Z., Vida, R. and Vidacs, A., "Deploying multiple sinks in multi-hop wireless sensor networks", In IEEE International Conference on Pervasive Services, 2007, pp. 55-63.
[15] Khan, B.M., Bilal, R. and Young, R., "Fuzzy-TOPSIS based Cluster Head selection in mobile wireless sensor networks", Journal of Electrical Systems and Information Technology, Vol. 5, No. 3, pp.928-943, 2018.
[16] Amiri, E. and Hooshmand, R., "Improved AODV Based on TOPSIS and Fuzzy Algorithms in Vehicular Ad-hoc Networks", Wireless Personal Communications, pp.1-15, 2019.
Khalily-Dermany, M. (2021). A multiple criteria algorithm for planning the itinerary of mobile sink in wireless sensor networks. Soft Computing Journal, 7(2), 74-83.
MLA
Mohammad Khalily-Dermany. "A multiple criteria algorithm for planning the itinerary of mobile sink in wireless sensor networks". Soft Computing Journal, 7, 2, 2021, 74-83.
HARVARD
Khalily-Dermany, M. (2021). 'A multiple criteria algorithm for planning the itinerary of mobile sink in wireless sensor networks', Soft Computing Journal, 7(2), pp. 74-83.
VANCOUVER
Khalily-Dermany, M. A multiple criteria algorithm for planning the itinerary of mobile sink in wireless sensor networks. Soft Computing Journal, 2021; 7(2): 74-83.
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