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Quasi-oppositional Harmony Search Algorithm Approach for Ad Hoc and Sensor Networks

Part of the Springer Tracts in Nature-Inspired Computing book series (STNIC)

Abstract

Wireless communication technologies are under the process of rapid development. In the past few years, this field has experienced a steep growth in teaching and research activity, especially, in the area of wireless ad hoc and sensor network. In recent studies, continuously research work is going on for the optimum design of the metering and low-power devices for daily life usages. Wireless sensor networks (WSNs) may be one of the options to meet the above requirement. It deals with the major issues of energy limitations, challenges of handling traffic and lifetime of the battery. Network lifetime, energy efficiency, energy consumption and solving routing problems are some of the problems that need to be discussed with WSN. To achieve these constraints, an effective optimization method may be used as an effective and useful tool. Most of the optimization techniques are inspired by some phenomenon found in nature. One of them is quasi-oppositional harmony search algorithm. Although it is under developing stage, it is still a powerful optimization technique. It has the potential ability to solve various engineering optimization problems. It has many advantages that make it applicable to use in WSN and its related work.

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Correspondence to Chandan Kumar Shiva .

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Appendix

Appendix

1.1 Parameters of QOHS

Number of parameters depends on problem variables, population size = 50, total number of iteration = 100, HMCR = 0.9, PARmin = 0.45, PARmax = 0.98, BWmin = 0.0005, BWmax = 50, Jr = 0.8,

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Shiva, C.K., Kumar, R. (2020). Quasi-oppositional Harmony Search Algorithm Approach for Ad Hoc and Sensor Networks. In: De, D., Mukherjee, A., Kumar Das, S., Dey, N. (eds) Nature Inspired Computing for Wireless Sensor Networks. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-15-2125-6_9

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  • DOI: https://doi.org/10.1007/978-981-15-2125-6_9

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