Abstract
Wireless Sensor and Actor Networks (WSANs) are made up of a large number of sensors, small number of actor nodes, and there might be one or more base station(s) depending on the application requirement. The sensor nodes are autonomously small devices with several constraints like battery backup, computation capacity, communication range, and storage, while actor nodes are much better capable than sensors. Sensors are equipped with transceivers to gather information from their vicinity and pass it to a certain base station through actor node(s), where the measured parameters can be stored and made available for the end user. Therefore, the main issue is to send information faster and reliably with less energy consumption to the receiver node so that appropriate decision can be taken accordingly. In this paper, a new framework based on genetic algorithm (GA) is discussed with multi-tier clustering technique to transmit the data to the sink node using those actor node(s) that have more caching capability without retransmission of lost packets. The simulation results confirm the effectiveness of proposed framework over traditional approach.
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Kumar, A., Ranga, V. (2014). A Cluster-Based Coordination and Communication Framework Using GA for WSANs. In: Maringanti, R., Tiwari, M., Arora, A. (eds) Proceedings of Ninth International Conference on Wireless Communication and Sensor Networks. Lecture Notes in Electrical Engineering, vol 299. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1823-4_11
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DOI: https://doi.org/10.1007/978-81-322-1823-4_11
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