Abstract
A steady increase in the number of Wireless Sensor Networks (WSN) applications in day-to-day life lead to the design of new algorithms and protocols to solve their various issues such as energy efficiency, topology control and data gathering. Energy efficiency can be achieved by focusing on the communication part, since the communication cost is higher than that of the computation. The use of Connected Dominating Set (CDS) as the virtual backbone for data transmission towards the Base Station improves the network lifetime. Therefore, a Balanced Energy Efficient Virtual Backbone Construction (BEE-VBC) algorithm in WSN is proposed in this paper using the well-known heuristic Genetic Algorithm (GA). This work emphasizes on the design of fitness function using multiple factors such as energy, coverage of neighbors, reliability, data rate, and traffic deviation. The CDS construction using the maximum fitness nodes, provides network longevity. This ensures a steady connectivity among the dominator nodes and path towards the BS, thus improving the quality of the solution. The simulation experiments have been carried out and compared with a few CDS-based and clustering-based algorithms to show the performance improvement achieved in the proposed work.
Published Version
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