Natural Computing in Mobile Network Optimization

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Author(s): Anwesha Mukherjee (West Bengal University of Technology, India), Priti Deb (West Bengal University of Technology, India)and Debashis De (West Bengal University of Technology, India)
Copyright: 2016
Pages: 27
Source title: Handbook of Research on Natural Computing for Optimization Problems
Source Author(s)/Editor(s): Jyotsna Kumar Mandal (University of Kalyani, India), Somnath Mukhopadhyay (Calcutta Business School, India)and Tandra Pal (National Institute of Technology Durgapur, India)
DOI: 10.4018/978-1-5225-0058-2.ch017

Keywords: Artificial Intelligence / Biologically-Inspired Computing / Engineering Science Reference / Medicine & Healthcare

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Abstract

Nature inspired computing has been widely used to solve various research challenges of mobile network. Mobile network refers to mobile network, sensor network and ad hoc network. This chapter has focused on the application of nature inspired computing in mobile network. In this chapter, the bio-inspired techniques for wireless sensor network, mobile ad hoc network and mobile cloud computing are discussed. Ant colony optimization is used in sensor network and mobile cloud computing for efficient routing and scheduling respectively. Bee swarm intelligence is used to develop routing schemes for mobile ad hoc network. Bird flocking behavior is used for congestion control in wireless sensor network. The research challenges of bio-inspired mobile network are also illustrated.

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