Int. J. of Information Technology, Communications and Convergence   »   2013 Vol.2, No.4

 

 

Title: Soft computing approach towards localisation in wireless sensor networks: a survey

 

Authors: Ashish Payal; Chandra Shekhar Rai; B.V. Ramana Reddy

 

Addresses:
University School of Information and Communication Technology, GGS Indraprastha University, New Delhi, 110078, India
University School of Information and Communication Technology, GGS Indraprastha University, New Delhi, 110078, India
University School of Information and Communication Technology, GGS Indraprastha University, New Delhi, 110078, India

 

Abstract: A wireless sensor network (WSN) is playing a vital role in monitoring a wide variety of real-world phenomenon. Capability of WSNs is further enhanced by the efficient localisation algorithms. Location information is essential for integrating the various applications of WSNs. Localisation is the process by which a sensor node determines its own location after deployment. Soft computing techniques are gaining popularity in evolving new localisation algorithms that are capable of optimising various parameters of WSNs. In this paper, a comprehensive review is presented to understand the role of fuzzy logic, genetic algorithm, and neural network in localisation of nodes in WSNs.

 

Keywords: wireless sensor networks; WSNs; localisation; neural networks; received signal strength; RSS indicators; RSSI; fuzzy logic; genetic algorithms; location information; node location.

 

DOI: 10.1504/IJITCC.2013.059425

 

Int. J. of Information Technology, Communications and Convergence, 2013 Vol.2, No.4, pp.353 - 367

 

Available online: 20 Feb 2014

 

 

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