Abstract
Energy constraint nature of wireless sensor networks has led to the need of data aggregation. Problem of optimal data aggregation scheme is a NP-hard problem. Bee colony System, a metaheuristic algorithm, imparts inherent and natural means of optimization for optimal data aggregation. In this paper, Bee Colony Optimization (BCO) using Bee Fuzzy System is used for data aggregation in wireless sensor networks (WSNs). Simulation is done using MATLAB. The performance shows the considerable improvement in energy optimization of wireless sensor networks.
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Kumar, S., Kumar, S. (2016). Bee Colony Optimization for Data Aggregation in Wireless Sensor Networks. In: Nagar, A., Mohapatra, D., Chaki, N. (eds) Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Smart Innovation, Systems and Technologies, vol 44. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2529-4_25
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DOI: https://doi.org/10.1007/978-81-322-2529-4_25
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