Abstract
Energy efficiency is an important parameter in the research area related to the design of routing protocols for Wireless Sensor Networks (WSNs). The consumption of energy during transmission and processing of data is more which makes the sensor network to erroneous state. In WSN, Low Energy Adaptive Clustering Hierarchy (LEACH) is a popular hierarchical routing protocol, which is responsible for energy storage in nodes. The residual energy and distance between the base station and node are not considered for selection of cluster head in traditional methods. This paper proposes a Cross Layer-Low Energy Adaptive Clustering Hierarchy model (CL-LEACH), an efficient routing protocol to increase the lifetime of the battery. CL-LEACH considers residual energy and for cluster head selection and provides an energy efficient transmission schemes for WSN. The cross-layer design delivers adaptive modulation by abusing intersegment dependencies across Medium Access Control, Physical, and Application layers. Moreover, CL-LEACH utilizes the remaining energy of the node for cluster head selection which preserves the overall energy. The proposed method provides better results in terms of number of live nodes, energy dissipation, message cost when compared to the traditional LEACH protocol.
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References
Hong, L., et al. (2011). Data fusion with desired reliability in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(3), 501–513.
Kaur, K., & Sharma, D. (2013). Improvement In LEACH protocol by electing master cluster heads to enhance the network lifetime in WSN. International Journal of Science and Engineering Applications, 2(5), 110–114.
Dedeoglu, V. et al. (2012). Cross-layer energy minimization in correlated data gathering wireless sensor networks. In IEEE 13th international workshop on signal processing advances in wireless communications (SPAWC), 2012, pp. 304–308.
Zeydan, E., et al. (2012). Energy-efficient routing for correlated data in wireless sensor networks. Ad Hoc Networks, 10(6), 962–975.
Yuen, K., et al. (2008). A distributed framework for correlated data gathering in sensor networks. IEEE Transactions on Vehicular Technology, 57(1), 578–593.
He, S. et al. (2010). Cross-layer optimization of correlated data gathering in wireless sensor networks. In 7th annual IEEE communications society conference on sensor mesh and ad hoc communications and networks (SECON), 2010, pp. 1–9.
Babulal, K. S. & Tewari, R. R. (2011). Cross layer cooperative clustering for performance enhancement in wireless sensor network. In 2011 Nirma University international conference on engineering (NUiCONE), 2011, pp. 1–6.
Nirmala, S., & Nallusamy, R. (2012). An energy-efficient and enhanced QoS aware of MAC application specific protocol in the distributed Wireless Sensor Networks. Fourth International Conference on Advanced Computing (ICoAC), 2012, 1–4.
Di Francesco, M., et al. (2011). Reliability and energy-efficiency in IEEE 802.15. 4/ZigBee sensor networks: An adaptive and cross-layer approach. IEEE Journal on Selected Areas in Communications, 29(8), 1508–1524.
Murthy, J. K., et al. (2012). Energy efficient scheduling in cross layer optimized clustered wireless sensor networks. Int’l Journal of Computer Science and Communication, 3(1), 149–153.
Yang, G. Y., & Guan, X. (2013). An enhanced cross-layer MAC design for energy efficiency in wireless sensor networks. Advanced Materials Research, 734, 3038–3041.
Lee, J. S., & An, B. (2013). A cross-layer cooperative architecture to support transmission efficiency in mobile wireless sensor networks. Sensor Letters, 11(5), 845–852.
Anchora, L. et al. A novel MAC scheduler to minimize the energy consumption in a Wireless Sensor Network. Ad Hoc Networks, no. 0.
Tayal, P. et al. (2013). A study on energy efficient data collection approaches in wireless sensor network. In Proceedings of national conference on trends in signal processing & communication (TSPC’13), 2013, pp. 14.
Hamid, A. Z. (2013) Cross-layer aware routing approach for lifetime maximization in wireless sensor networks with multiple sinks .
Alrajeh, N. A. et al. (2013) Secure routing protocol using cross-layer design and energy harvesting in wireless sensor networks. International Journal of Distributed Sensor Networks, 2013, 1–11.
Priya, S. M. & Karthikeyan, S. (2012) An efficient clustered multipath routing to improve lifespan in WSN. International Journal of Computer Science Issues (IJCSI), 9(2), 182–187.
Chaudhari, R. G. et al. (2013). Energy efficient LEACH protocol for wireless sensor networks. International Journal of Advanced Research in Computer Science and Electronics Engineering (IJARCSEE), 2(1), 023-026.
Silva, C., et al. (2013). A cluster-based approach to provide energy-efficient in WSN. IJCSNS, 13(1), 55.
Buratti, C., et al. (2005). Cross-layer design of an energy-efficient cluster formation algorithm with carrier-sensing multiple access for wireless sensor networks. EURASIP Journal on Wireless Communications and Networking, 5, 672–685.
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Marappan, P., Rodrigues, P. An energy efficient routing protocol for correlated data using CL-LEACH in WSN. Wireless Netw 22, 1415–1423 (2016). https://doi.org/10.1007/s11276-015-1063-4
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DOI: https://doi.org/10.1007/s11276-015-1063-4