NDLI: A Density and Distance based Cluster Head Selection algorithm in Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Kyounghwa Lee Joohyun Lee Hyeopgeon Lee Yongtae Shin
Copyright Year	2010
Description	Author affiliation: Department of Computingt, Soongsil University, Korea (Kyounghwa Lee; Joohyun Lee; Hyeopgeon Lee; Yongtae Shin)
Abstract	Sensor Networks consist of massively distributed, small devices that have some limited sensing, processing, and communication capabilities. Due to the design of the topology of Sensor Networks, supporting energy-efficient routing protocol in the sensor networks is a challenging task. In this paper, we propose a Density and Distance based Cluster Head Selection (DDCHS) algorithm. The proposed algorithm divides cluster area into several perpendicular diameters, and then selects cluster head by the density of member nodes and the distance from cluster head. The simulation experiments shows that DDCHS algorithm has improves the network lifetime about 50% better than LEACH and about 10% better than HEED. From the results, considering node density and the distance from cluster head in sensor networks can be more energy-efficient than considering only the distance between nodes in energy usage of Wireless Sensor Networks.
Starting Page	162
Ending Page	165
File Size	3837240
Page Count	4
File Format	PDF
ISBN	9781424454273
ISSN	17389445
e-ISBN	9781424454280
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-02-07
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Electronics and Telecommunications Research Institute
Subject Keyword	Clustering algorithms Wireless sensor networks Energy efficiency Base stations Energy states Computer networks Distributed computing Network topology Routing protocols Wireless application protocol density and distance Sensor Networks energy aware energy efficiency protocol cluster-head selection
Content Type	Text
Resource Type	Article

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