Performance Comparison of Distance and Density Based Clustering Algorithm (DDCSA) V/s Normal Technique to Analyze Power Consumption and Network Lifetime of Wireless Sensor Networks

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Provided by: Inpressco
Topic: Big Data
Format: PDF
In this paper, Normal Technique and Distance and Density based Clustering Algorithm (DDCSA) technique is compared on various parameters. Aggregating data of several nodes in a wireless sensor networks allows the authors to accurately monitor a remote environment. However, low-cost battery-powered nodes are often used to implement such networks, resulting in tight energy and communication bandwidth constraints. They have found that sensor node distances and densities are key factors in clustering. This paper is to introduce a new protocol to reduce overall power consumption, extend network life time in wireless sensor networks.
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