Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 7, Pages: 1-6
R . Shantha Selva Kumari1*, A. Chithra2 and M. Balkis Devi3
1Department of ECE, Mepco Schlenk Engineering College, Sivakasi - 626005, Tamil Nadu, India; [email protected] 2Department of ECE, K.LN. College of Information Technology, Madurai - 630612, Tamil Nadu, India; [email protected] 3Communication and Networking, K.L.N. College of Information Technology, Madurai - 630612, Tamil Nadu, India; [email protected]
*Author for Correspondence
R . Shantha Selva Kumari Department of ECE, Mepco Schlenk Engineering College, Sivakasi - 626005, Tamil Nadu, India; [email protected]
Background/Objectives: Wireless Sensor Network consists of a large number of sensor nodes that are randomly deployed in inaccessible areas where battery replacement or recharging is not possible. Hence energy consumption is a major issue in these networks. Clustering is a key technique that increases the battery lifetime. The sensor networks can be homogeneous or heterogeneous. In heterogeneous network, the nodes have different resource heterogeneity like link and computation and energy. Lot of work has been done on energy heterogeneity to increase the network lifetime. Methods/Statistical Analysis: This paper analyses the two level energy heterogeneity protocols. The two level energy heterogeneity protocols with normal and advance nodes prove to have better network lifetime and stability period than the homogeneous protocols like LEACH. Findings: Out of the heterogeneous protocols, ZSEP has better network lifetime, throughput and stability period than SEP and DEEC. But though the lifetime of LEACH is higher than SEP, the protocol has smaller stability period and throughput. Improvements/Applications: LEACH is a homogeneous protocol while SEP, ZSEP, DEEC are heterogeneous protocols. This paper analyzes the performance of LEACH, SEP, ZSEP and DEEC. Heterogeneous networks are used to monitor hostile environments with longer network lifetime and stability period.
Keywords: Clustering, Energy Efficient, Heterogeneity, Network Lifetime, Wireless Sensor Network
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