Abstract
In past few years, lots of advances and techniques have been explored for the optimization of energy usage in wireless sensor networks (WSNs), and the routing protocol based on energy parameter is used to extend lifetime and throughput of the sensor networks. The paper proposed a region-based hybrid routing (RBHR) protocol in which region-based clustering is used for deployment of different types of sensor nodes in different regions according to their energy level, and hybrid routing is used for data transmission. The proposed protocol uses artificial intelligence (AI) technique for cluster head (CH) election to minimize the energy consumption in the network. We implemented region-based hybrid routing protocol and compare it with stable election protocol (SEP). A simulation result shows that proposed protocol enhances the throughput and lifetime of the sensor network.
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Maurya, S., Daniel, A.K. (2015). RBHR: Region-Based Hybrid Routing Protocol for Wireless Sensor Networks Using AI Technique. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 336. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2220-0_4
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DOI: https://doi.org/10.1007/978-81-322-2220-0_4
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