Abstract
Recent Technological trends in the miniaturization of computing devices and the availability of inexpensive wireless communication have led to an expansion of effort in Mobile Computing. Therefore Location cum Mobility Management is a very important and complex problem in today’s Mobile computing environments. There is a need to develop algorithms to capture this complexity. In this paper, a Generalized N X N Network concept has been introduced to minimize the total cost and to balance the Registration (Location Update) and Search (Paging) operation by maintaining the mobility history. A Genetic Algorithm technique is a biologically inspired optimization and search technique which has been implemented to solve the reporting cells planning problem for various networks. This technique shows that the total cost is less when compared with the existing cost based updating and paging scheme. This concept has been extended to prove for N X N Network.
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Ashok Baburaj, C., Alagarsamy, K. (2011). Generalized N X N Network Concept for Location and Mobility Management. In: Meghanathan, N., Kaushik, B.K., Nagamalai, D. (eds) Advances in Networks and Communications. CCSIT 2011. Communications in Computer and Information Science, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17878-8_32
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DOI: https://doi.org/10.1007/978-3-642-17878-8_32
Publisher Name: Springer, Berlin, Heidelberg
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