A Dynamic Clustering Algorithm for Object Tracking and Localization in WSN
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Authors
Musafer, Hassan
Abdulhammed, Razan
Abdelfattah, Eman
Elleithy, Khaled M.
Issue Date
2014-10-13
Type
Article
Language
en_US
Keywords
Wireless sensor networks (WSN) , Target tracking , Dynamic clustering
Alternative Title
Abstract
A Wireless Sensor Network (WSN) is an assemblage of cooperative sensor nodes acting together into an environment to monitor an event of interest. However, one of the most limiting factors is the energy constrain for each node; therefore, it is a trade-off is required for that factor in designing of a network, while reporting, tracking or visualizing an event to be considered. In this paper, two object tracking techniques used in Wireless Sensor Networks based on cluster algorithms have been combined together to perform many functions in the proposed algorithm. The benefit of using clusters algorithms can be count as the detection node in a cluster reports an event to the Cluster Head (CH) node according to a query, and then the CH sends all the collected information to the sink or the base station. This way reduces energy consuming and required communication bandwidth. Furthermore, the algorithm is highly scalable while it prolongs the life time of the network.
Description
Citation
Publisher
International Society for Computers and Their Applications, Inc.