Genetic Algorithm Based Call Drop Reduction Model During Handoff in Mobile Communication
Kaushlendra Singh Chauhan, Anu Sharma · 2012
This paper highlights the potential of using genetic algorithms to solve cellular resource allocation problems. Generally, cellular resource allocation deals with how and when to allocate radio frequency channels to mobile hosts. The algorithm exploits the potential of genetic algorithm to design a fault-tolerant cellular resource allocation model. In some cases the load over a single cell is increased, so it needs more channels than it actually has to minimize the traffic problem and the number of the blocked hosts. On the other hand it is possible that the load on a cell is less than its channel capacity, so there is wastage of channels. We solved this problem by taking the extra channels from the cells that have a less load and allocate it to the cells that have an over load, temporarily. The algorithm is also solved the problem of handover using reserved channel technique, so we implement the dynamic channel allocation using genetic algorithm to minimize the number of blocked hosts and the handoff failures (as a part of the blocked hosts) in the mobile computing network system.