Improving Energy Efficiency in Clustered Wireless Sensor Networks

Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Data Management
Format: PDF
One of the most critical issues in designing wireless sensor network is to minimize the energy consumption and increase longevity. In wireless sensor network, data fusion can reduce data redundancy among sensed data and optimal sensor routing algorithm can provide strategy for data gathering with as minimum energy as possible. The authors combined data fusion and clustering method together to reduce the energy. In this paper, they propose k-means algorithm for clustering. They design a novel routing algorithm called an Adaptive Algorithm (AA) for energy efficient data gathering in sensor network that optimizes data transmission cost and the data fusion cost.

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