A stable energy efficient clustering protocol for wireless sensor networks
Sensor networks comprise of sensor nodes with limited battery power that are deployed at different geographical locations to monitor physical events. Information gathering is a typical but an important operation in many applications of wireless sensor networks (WSNs). It is necessary to operate the sensor network for longer period of time in an energy efficient manner for gathering information. One of the popular WSN protocol, named low energy adaptive clustering hierarchy (LEACH) and its variants, aim to prolong the network lifetime using energy efficient clustering approach. These protocols increase the network lifetime at the expense of reduced stability period (the time span before the first node dies). The reduction in stability period is because of the high energy variance of nodes. Stability period is an essential aspect to preserve coverage properties of the network. Higher is the stability period, more reliable is the network. Higher energy variance of nodes leads to load unbalancing among nodes and therefore lowers the stability period. Hence, it is perpetually attractive to design clustering algorithms that provides higher stability, lower energy variance and are energy efficient. In this paper to overcome the shortcomings of existing clustering protocols, a protocol named stable energy efficient clustering protocol is proposed. It balances the load among nodes using energy-aware heuristics and hence ensures higher stability period. The results demonstrate that the proposed protocol significantly outperforms LEACH and its variants in terms of energy variance and stability period.
KeywordsClustering DRESEP SEECP Network lifetime Residual energy WSNs
- 3.Memon, I., Jamro, D. A., Mangi, F. A., Basit, M. A., & Memon, M. H. (2013). Source localization wireless sensor network using time difference of arrivals (TDOA). International Journal of Scientific & Engineering Research, 4(7), 1046.Google Scholar
- 6.Heinzelman, W. B., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd Annual Hawaii international conference on system siences (HICSS-33) (p. 223), IEEE. doi:10.1109/HICSS.2000.926982.
- 7.Smaragdakis, G., Matta, I., & Bestavros, A. (2004). SEP: A stable election protocol for clustered heterogeneous wireless sensor networks. In Proceedings of the international workshop on SANPA. http://open.bu.edu/xmlui/bitstream/handle/2144/1548/2004-022-sep.pdf?sequence=1.
- 10.Kumar, D. (2014). Performance analysis of energy efficient clustering protocols for maximising lifetime of wireless sensor networks. IET Wireless Sensor Systems, 4(1), 9–16.Google Scholar
- 14.Aderohunmu, F. A., Deng, J. D., & Purvis, M. K. (2011). A deterministic energy-efficient clustering protocol for wireless sensor networks. In Proceedings of the 7th international conference on intelligent sensors, sensor networks and information processing (ISSNIP ‘11) (pp. 341–346), IEEE. doi:10.1109/ISSNIP.2011.6146592.
- 15.Manjeshwar, A., & Agrawal, D. P. (2001). TEEN: A routing protocol for enhanced efficiency in wireless sensor networks. In Proceedings of international parallel and distributed processing symposium (IPDPS’01) workshops (pp. 2009–2015), San Francisco, CA, USA. doi:10.1109/IPDPS.2001.925197.
- 16.Kashaf, A., Javaid, N., Khan, Z.A., & Khan, I.A. (December, 2012). TSEP: Threshold-sensitive stable election protocol for WSNs. In Proceedings of 10th international conference on frontiers of information technology (pp. 164–168), IEEE, Islamabad.Google Scholar