382 Copyright © 2016, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Chapter 17 DOI: 10.4018/978-1-5225-0058-2.ch017 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 tech- niques 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 efcient routing and scheduling respectively. Bee swarm intelligence is used to develop routing schemes for mobile ad hoc network. Bird focking behavior is used for congestion control in wireless sensor network. The research challenges of bio-inspired mobile network are also illustrated. INTRODUCTION Nature inspired computing (NIC) has grown up since more than a decade. NIC focuses at the develop- ment of new computing techniques with the ideas of how nature acts in different scenarios for solving complicated problems. NIC has become an interesting research area because of the technological growth in computer science. NIC techniques are applied in the field of physics, biology, economy, management, engineering etc. The models may be ant colonies or swarms, they are appropriate to model an intricate and dynamic system (Hu, Eberhart, & Shi, 2003). NIC techniques are flexible and applicable for various problems (Dorigo & Stutzle, 2010). These methodologies are adaptable because they can handle invisible Natural Computing in Mobile Network Optimization Anwesha Mukherjee West Bengal University of Technology, India Priti Deb West Bengal University of Technology, India Debashis De West Bengal University of Technology, India