Application of Computational Intelligence Techniques in Wireless Sensor Networks the State of the Art

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Author(s): Subhendu Kumar Pani (Biju Patnaik University of Technology, India)
Copyright: 2016
Pages: 21
Source title: Handbook of Research on Computational Intelligence Applications in Bioinformatics
Source Author(s)/Editor(s): Sujata Dash (North Orissa University, India)and Bidyadhar Subudhi (National Institute of Technology, India)
DOI: 10.4018/978-1-5225-0427-6.ch018

Keywords: Artificial Intelligence / Bioinformatics / Computer Science & IT / Medical Information Science Reference

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Abstract

A wireless sensor network may contain hundreds or even tens of thousands of inexpensive sensor devices that can communicate with their neighbors within a limited radio range. By relaying information on each other, they transmit signals to a command post anywhere within the network. Worldwide market for wireless sensor networks is rapidly growing due to a huge variety of applications it offers. In this chapter, we discuss application of computational intelligence techniques in wireless sensor networks on the coverage problem in general and area coverage in particular. After providing different types of coverage encountered in WSN, we present a possible classification of coverage algorithms. Then we dwell on area coverage which is widely studied due to its importance. We provide a survey of literature on area coverage and give an account of its state-of-the art and research directions.

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Application of Computational Intelligence Techniques in Wireless Sensor Networks the State of the Art

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