Density-Based Energy-Efficient Unequal Clustering

Abstract:

In this paper, we propose a Density-based Energy-Efficient Unequal Clustering (DEEUC) algorithm to solve the energy consumption imbalance problem of the nodes deployed randomly. The algorithm balances the energy consumption of the cluster by making nodes as cluster head in turn and taking the remaining energy into consideration, which makes the generation of the cluster head more reasonable. It balances the energy consumption of the cluster by generating unequal cluster with different radius based on nodes density and the distance to the sink. In the routing strategy, the cluster head node with high density is chosen as the next hop, which makes the selected node undertake more data forwarding tasks, and balances the regional energy consumption. The simulation experiments show that this algorithm can effectively balance the network energy consumption and prolong the network lifetime.

• Periodical: Applied Mechanics and Materials (Volumes 568-570)
• Pages: 608-613
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.568-570.608
• Online since: June 2014
• Authors: Jian Min Pan*, Qing Hua Shi
• Keywords: Energy Balance, Node Density, Random Distribution, Unequal Clustering, Wireless Sensor Network (WSN)

References

[1] M. Bansal, An Analysis on Clustering Architecture and Protocol in WSN, International Journal of Wired and Wireless Communications, 2013, vol. 2, no. 1 , pp.15-19.

[2] M. Patil and R.C. Biradar, A survey on routing protocols in Wireless Sensor Networks, 18th IEEE International Conference on Networks, (2012).

DOI: 10.1109/icon.2012.6506539

[3] C. So-In, et al. Performance Evaluation of LEACH on Cluster Head Selection Techniques in Wireless Sensor Networks, The 9th International Conference on Computing and InformationTechnology, Springer, (2013).

DOI: 10.1007/978-3-642-37371-8_9

[4] R. Kumar and N. Prakash, Energy Efficient Approach for Wireless Sensor Network, International Journal, vol. 3, no. 6, (2013).

[5] G. Sikander, et al., Comparison of clustering routing protocols for Wireless Sensor Networks, IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), (2013).

DOI: 10.1109/icsima.2013.6717925

[6] A. Boonsongsrikul, S. Kocijancic, and S. Suppharangsan. Effective energy consumption on wireless sensor networks: Survey and challenges, Information & Communication Technology Electronics & Microelectronics (MIPRO), (2013).

[7] C. Li, et al., An energy-efficient unequal clustering mechanism for wireless sensor networks, IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, (2005).

DOI: 10.1109/mahss.2005.1542849

[8] R.B. Zhang, and J.F. Cao, Uneven clustering routing algorithm for wireless sensor networks based on ant colony optimization, Journal of Xian Jiaotong University, 2010, vol. 44, no. 6, pp.33-38.

[9] G. Chen, et al., An unequal cluster-based routing protocol in wireless sensor networks, Wireless Networks, 2009, vol. 15, no. 2, pp.193-207.

DOI: 10.1007/s11276-007-0035-8

[10] Q.J.L. San-yang and C. Xiang-yu, Density-based clustering protocol for wireless sensor networks, Computer Science, 2009, vol. 12, p.13.