Publication

Abstract : The next-generation wireless networks should be interoperable with other communication technologies to offer the best connectivity to the users. But providing such interworking is a key challenge. Currently, existing decision engines are simple, proprietary, and have no support for profile-based service, and handover is only based on the received signal strength which is not intelligible enough to make handoff decision. The proposed decision algorithm gains intelligence by combining fuzzy logic system, multiple attribute decision making, and context-aware strategies. It synchronizes the user schedule and usage pattern through software agent for making handover at appropriate time. The performance analysis shows that the proposed algorithm efficiently uses the network resources by switching between 3G and Wi-Fi based on the user schedule. It is observed that average handover delay for the experiment is 25–35 ms under good RF conditions, running time of algorithm is around 1 ms, and it reduces the call dropping rate (lt;0.006), blocking probability (lt;0.00607), as well as unnecessary handover in heterogeneous networks. © Springer India 2015.