Weighted Adaptive Clustering Algorithm for Wireless Sensor Networks

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Provided by: Creative Commons
Topic: Enterprise Software
Format: PDF
Wireless Sensor Networks (WSNs) are an emerging, fast-growing technology, and the growing interest can be attributed to new applications enabled by large-scale networks. WSN applications are used in both industrial and commercial environments, some of the applications are object tracking, habitat monitoring, fire detection, traffic monitoring, and area monitoring. The authors concern adaptive clustering approaches to extended the life time of sensor nodes and increases the network lifetime To implement this approach they used cluster head mechanism in computing of the weight of each node in the network is one of the proposed techniques to deal with this problem.
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