Affiliation:
1. West Bengal University of Technology, India
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.
Reference72 articles.
1. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. Communications Magazine, IEEE, 40(8), 102-114.
2. Al-Karaki, J. N., & Kamal, A. E. (2004). Routing techniques in wireless sensor networks: a survey. Wireless Communications, IEEE, 11(6), 6-28.
3. Alsharif, M. H., Nordin, R., & Ismail, M. (2013). Survey of Green Radio Communications Networks: Techniques and Recent Advances. Journal of Computer Networks and Communications, 2013.
4. Antoniou, P., Pitsillides, A., Blackwell, T., Engelbrecht, A., & Michael, L. (2011). From bird flocks to wireless sensor networks: A congestion control approach. Department of Computer Science, University of Cyprus, Tech. Rep. TR-11-5.
5. Congestion Control in Wireless Sensor Networks Based on the Bird Flocking Behavior
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献