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Wireless Sensor Network: Applications, Challenges, and Algorithms

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Nature Inspired Computing for Wireless Sensor Networks

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

Abstract

Wireless sensor network (WSN) is a collection of sensor nodes that distributed in an arbitrary manner to solve a particular problem. The position of the node is predefined and based on random nature. Each node directly or indirectly connected with the base station (BS). BS is used to control and manages all sensor nodes. WSN is used in several applications such as disaster management, entertainment, education, environment monitoring. Although the applications of WSN increase rapidly in the modern era, it has several limitations such as limited energy capacity of the nodes, shortage memory capacity of the nodes as well as limited computational capacity. These limitations cause frequently changing the infrastructure of the WSN which has high complexity, and it causes the failure of the current operation. Hence, to overcome these problems several nature-inspired algorithms are designed such as swarm optimization, ant colony optimization, particle swarm optimization, Africa buffalo optimization, genetic algorithm, teaching-learning based optimization, etc. The basic aim of these optimizations is to solve several conflicting objectives of the WSN efficiently in terms of some parameters.

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Authors and Affiliations

  1. Maulana Abul Kalam Azad University of Technology, Haringhata, Nadia, West Bengal, 721249, India

    Debashis De

  2. Institute of Engineering & Management, Salt Lake, Kolkata, 700091, India

    Amartya Mukherjee

  3. National Institute of Science and Technology (Autonomous), Institute Park, Pallur Hills, Berhampur, Odisha, 761008, India

    Santosh Kumar Das

  4. Techno India College of Technology, Kolkata, 700156, India

    Nilanjan Dey

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  1. Debashis De
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  2. Amartya Mukherjee
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  3. Santosh Kumar Das
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  4. Nilanjan Dey
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Correspondence to Santosh Kumar Das .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University, Kolkata, West Bengal, India

    Debashis De

  2. Department of Computer Science and Engineering, Institute of Engineering and Management, Kolkata, West Bengal, India

    Amartya Mukherjee

  3. School of Computer Science and Engineering, National Institute of Science and Technology, Berhampur, Odisha, India

    Santosh Kumar Das

  4. Department of Information Technology, Techno India College of Technology, Kolkata, India

    Nilanjan Dey

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De, D., Mukherjee, A., Das, S.K., Dey, N. (2020). Wireless Sensor Network: Applications, Challenges, and Algorithms. 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_1

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