Zonal based approach for clustering in heterogeneous WSN

被引:17
作者
Mehra P.S. [1 ]
Doja M.N. [1 ]
Alam B. [1 ]
机构
[1] Department of Computer Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia, Jamia Nagar, New Delhi
关键词
Cluster head; Clustering; Energy efficiency; Heterogeneity; Lifetime; Stability period; Wireless sensor network;
D O I
10.1007/s41870-017-0071-2
中图分类号
学科分类号
摘要
Huge attention of the researchers is drawn by the wireless sensor network (WSN) due to its applicability in variety of applications. WSN has tiny size low powered device called sensors with an objective to monitor the area of interest. In many applications of WSN, it is impossible to modify the topology or to replace the battery based power supply of the sensor nodes. Hence elongation of network lifetime is required to meet the objective of setting up the network. In this paper, a zonal based clustering technique is proposed wherein the field is divided into zones. The selection of cluster head is dynamic so as to balance the load with even dissipation of power by the deployed Sensor Node. The proposed work is compared with DEEC, SEP, Z-SEP and LEACH protocol and simulation validates the protocol with elongated stability region and extended life time with more successful packet delivery to base station. © 2017, Bharati Vidyapeeth's Institute of Computer Applications and Management.
引用
收藏
页码:507 / 515
页数:8
相关论文
共 25 条
[1]  
Akyildiz I.F., Su W., Sankarasubramaniam Y., Cayirci E., A survey on sensor networks, IEEE Commun Mag, 40, 8, pp. 102-114, (2002)
[2]  
Parmar K., Jinwala D.C., Concealed data aggregation in wireless sensor networks: a comprehensive survey, Comput Netw, 103, pp. 207-227, (2016)
[3]  
Hill J., Szewczyk R., Woo A., Hollar S., Culler D., Pister K., System architecture directions for networked sensors, Proceedings of the Ninth International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 93-104, (2000)
[4]  
Younis O., Krunz M., Ramasubramanian S., Node clustering in wireless sensor networks: recent developments and deployment challenges, IEEE Netw, 20, 3, pp. 20-25, (2006)
[5]  
Lattanzi E., Regini E., Acquaviva A., Bogliolo A., Energetic sustainability of routing algorithms for energy-harvesting wireless sensor networks, Comput Commun, 30, 14, pp. 2976-2986, (2007)
[6]  
Abbasi A., Younis A.M., A survey on clustering algorithms for wireless sensor networks, Comput Commun, 30, 14, pp. 2826-2841, (2007)
[7]  
Kuila P., Gupta S.K., Jana P.K., A novel evolutionary approach for load balanced clustering problem for wireless sensor networks, Swarm Evolut Comput, 12, pp. 48-56, (2013)
[8]  
Low C.P., Fang C., Ng J.M., Ang Y.H., Efficient load-balanced clustering algorithms for wireless sensor networks, Comput Commun, 31, 4, pp. 750-759, (2008)
[9]  
Das S., Suganthan P.N., Differential evolution: a survey of the state-of-the-art, IEEE Trans Evol Comput, 15, 1, pp. 4-31, (2011)
[10]  
Heinzelman W.B., Chandrakasan A., Balakrishnan P.H., An application-specific protocol architecture for wireless microsensor networks, IEEE Trans Wirel Commun, 1, 4, pp. 660-670, (2002)