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DOI: 10.14569/IJACSA.2017.080220
PDF

Ant Colony Optimization (ACO) based Routing Protocols for Wireless Sensor Networks (WSN): A Survey

Author 1: Anand Nayyar
Author 2: Rajeshwar Singh

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 2, 2017.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Wireless Sensor Networks have several issues and challenges with regard to Energy Efficiency, Limited Computational capability, Routing Overhead, Packet Delivery and many more. Designing Energy Efficient Routing Protocol has always been a limiting factor cum issue for Wireless Sensor Networks. Varied routing protocols being proposed till date for overcoming these issues based on Swarm Intelligence. Swarm Intelligence is concerned with study of combined behavior of systems designed by varied components for coordinating among themselves via decentralized controls and self-organization. Algorithms based on Swarm Intelligence, nature based intelligence are highly robust, adaptive and scalable. This paper presents comprehensive survey of Ant Colony Optimization based routing protocols for Wireless Sensor Networks to give better platform for researchers to work on various shortcomings of protocols developed till date to develop efficient routing protocol for WSN in near future.

Keywords: Wireless Sensor Networks; Routing; Routing Protocols; Swarm Intelligence (SI); Ant Based Routing; Ant Colony Optimization

Anand Nayyar and Rajeshwar Singh, “Ant Colony Optimization (ACO) based Routing Protocols for Wireless Sensor Networks (WSN): A Survey” International Journal of Advanced Computer Science and Applications(IJACSA), 8(2), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080220

@article{Nayyar2017,
title = {Ant Colony Optimization (ACO) based Routing Protocols for Wireless Sensor Networks (WSN): A Survey},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080220},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080220},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {2},
author = {Anand Nayyar and Rajeshwar Singh}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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