Energy Efficient Homogeneous Vs Heterogeneous LEACH
Neha Mehndiratta1, Manju2, Harish Bedi3

1Ms. Neha Mehndiratta, Department of Computer Science, BRCM College of Engineering & Technology Bahal Bhiwani (Haryana), India.
2Ms. Manju, Department of Computer Science, FET, Mody Institute of Technology & Science Lakshmangarh (Rajasthan), India.
3Mr. Harish Bedi, Department of Computer Science, BRCM College of Engineering & Technology Bahal Bhiwani (Haryana), India.
Manuscript received on 15 April 2013 | Revised Manuscript received on 22 April 2013 | Manuscript Published on 30 April 2013 | PP: 280-283 | Volume-2 Issue-5, April 2013 | Retrieval Number: E0716042413/13©BEIESP
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Abstract: In Wireless sensor Networks (WSNs), it is an important task to periodically collect data from an area of interest for time-sensitive applications. The Wireless sensor network (WSN) is a type of the wireless ad-hoc networks. It consists of a large number of sensors and those are effective for gathering data in a variety of environments. Clustered sensor networks can be classified into two broad types; homogeneous and heterogeneous sensor networks. In homogeneous networks all the sensor nodes are identical in terms of battery energy and hardware complexity. On the other hand, in a heterogeneous sensor network, two or more different types of nodes with different battery energy and functionality are used. There are two desirable characteristics of a sensor network, viz. lower hardware cost, and uniform energy drainage. While heterogeneous networks achieve the former, the homogeneous networks achieve the latter. However both features cannot be incorporated in the same network. In this paper based on classification of sensor networks we are briefing LEACH as the representative single hop homogeneous network, and a sensor network with two types of nodes as a representative single hop heterogeneous network.
Keywords: Clustering, Energy Efficiency, Homogeneous, Heterogeneous, LEACH Protocol, Wireless Sensor Networks.

Scope of the Article: Heterogeneous and Streaming Data