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Design Frameworks for Wireless Networks pp 257–280Cite as

Evolutionary Algorithms for Coverage and Connectivity Problems in Wireless Sensor Networks: A Study

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 82))

Abstract

Coverage and connectivity play a vital role in the performance and proper functioning of wireless sensor networks (WSNs). Proper deployment of the sensor nodes has strong impact on proper functioning of the network. Moreover, it can further reduce energy consumption of the networks. It is noteworthy that the sensor nodes have limited sensing and communication range. Moreover, energy source of the sensor nodes is also limited. Therefore, it is very challenging to maintain desired coverage and connectivity in the network. Furthermore, the sensor nodes are prone to failure. Hence, the target/region must be covered by sufficient number of sensor nodes to avoid damages due to failure of one or more sensor nodes. This is also essential for connectivity too. Nowadays, evolutionary algorithms become the center of attraction among the researchers to solve the different optimization problems in the WSN. This chapter aims to study and analyze the various evolutionary approaches like genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), etc. which are applied to solve the coverage and connectivity problems for WSN. The existing approaches are described with suitable illustration. Moreover, this chapter has highlighted few research challenges related to coverage and connectivity of WSNs.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, National Institute of Technology Sikkim, South Sikkim, 737139, India

    Subash Harizan & Pratyay Kuila

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  1. Subash Harizan
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  2. Pratyay Kuila
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Correspondence to Pratyay Kuila .

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Editors and Affiliations

  1. School of Computer Science and Engineering, National Institute of Science and Technology (Autonomous), Brahmapur, Odisha, India

    Santosh Kumar Das

  2. Department of Computer Science and Engineering, University Institute of Technology, University of Burdwan, Bardhaman, West Bengal, India

    Sourav Samanta

  3. Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal, India

    Nilanjan Dey

  4. Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Rajesh Kumar

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Harizan, S., Kuila, P. (2020). Evolutionary Algorithms for Coverage and Connectivity Problems in Wireless Sensor Networks: A Study. In: Das, S., Samanta, S., Dey, N., Kumar, R. (eds) Design Frameworks for Wireless Networks. Lecture Notes in Networks and Systems, vol 82. Springer, Singapore. https://doi.org/10.1007/978-981-13-9574-1_11

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  • DOI: https://doi.org/10.1007/978-981-13-9574-1_11

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  • Online ISBN: 978-981-13-9574-1

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