Abstract
Resource constrained low-cost sensor nodes deployed in large scale are the potential source of information in wireless sensor networks (WSN). Usually, sensor nodes are equipped with a non-rechargeable battery, which is having limited power and therefore its judicious use is essential for longer network life. Data gathering protocols proposed in the research literature are elegant in terms of consumption of battery power, but suffer from basic limitations. During the initial rounds of communication, all the nodes participate in data gathering process and information is received from the entire network field. However, as the time progresses, nodes start dying due to run out of battery power and the coverage-hole area increases. This paper put forwards a moving sink-based protocol for WSNs. Our extensive simulation study showed that, our protocol not only enhanced the network life time in terms of number of rounds of communications, but also addressed the coverage-hole issue.
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References
Heinzelman W, Chandrakasan A, Balakrishnan H. Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd annual Hawaii international conference on system sciences 2000;2000. p. 10.
Kumar N, Kaur J. Improved leach protocol for wireless sensor networks. In: Proceedings of 7th IEEE international conference on wireless communications, networking and mobile computing (WiCOM);2011. p. 1–5.
Sharma M, Sharma K. An energy efficient extended LEACH (EEE LEACH). In: Proceedings of international conference on communication systems and network technologies (CSNT);2012. p. 377–82.
Xiangning F, Yulin S. Improvement on LEACH protocol of wireless sensor network. In: IEEE international conference on sensor technologies and applications, SensorComm 2007; 2007. p. 260–4.
Chen K, Huang J, Hsiao C. CHIRON: an energy-efficient chain-based hierarchical routing protocol in wireless sensor networks. In: Proceedings of IEEE wireless telecommunications symposium; 2009. p. 1–5.
Jung S, Han Y, Chung T. The concentric clustering scheme for efficient energy consumption in the PEGASIS. In: Proceedings of IEEE 9th international conference on advanced communication technology;2007, vol. 1, p. 260–5.
Lindsey S, Raghavendra C. PEGASIS: Power-efficient gathering in sensor information systems. Proc IEEE Aerosp Conf. 2002;3:1125–30.
Tabassum N, Mamun Q, Urano Y. COSEN: a chain oriented sensor network for efficient data collection. In: Proceedings of IEEE third international conference on information technology: new generations;2006. p. 262–7.
Satapathy S, Sarma N. TREEPSI: tree based energy efficient protocol for sensor information. In: Proceedings of IFIP international conference on wireless and optical communications networks;2006. p. 4.
Sheu J, Sahoo P, Su C, Hu W. Efficient path planning and data gathering protocols for the wireless sensor network. Comput Commun. 2010;33(3):398–408.
Huang J, Liu D.A high-reliability data gathering protocol based on mobile sinks for wireless sensor networks. In: Proceedings of IEEE wireless and optical communication conference (WOCC);2013. p. 304–8.
Kim J, In J, Hur K, Kim J, Eom D. An intelligent agent-based routing structure for mobile sinks in WSNs. IEEE Trans Consum Electron. 2010;56(4):2310–6.
Liu D, Zhang K, Ding J. Energy-efficient transmission scheme for mobile data gathering in wireless sensor networks. Commun China. 2013;10(3):114–23.
Tian K, Zhang B, Huang K, Ma J. Data gathering protocols for wireless sensor networks with mobile sinks. In: Proceedings of IEEE global telecommunications conference (GLOBECOM 2010);2012. p. 1–6.
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Swain, B., Satapathy, S.S. (2016). Nature-Inspired Moving Sink Energy Efficient Data Gathering Protocol for Wireless Sensor Network. In: Dash, S., Bhaskar, M., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 394. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2656-7_69
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DOI: https://doi.org/10.1007/978-81-322-2656-7_69
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