Abstract

In the growing area of Internet of Things (IoT), mobility management protocols become necessary because in today’s environment everything is movable so there is no dominance of static nodes. Mobility is a key aspect for the next-generation wireless network. So, mobility management mechanism is necessary for providing the seamless handoff to end user regardless of their location. Thus, Internet Engineering Task Force (IETF) has developed the Mobile IPv6 (MIPv6) for providing the mobility facility. But MIPv6 is not able to provide the mobility for next-generation wireless network due to large packet loss and high latency. Thus, Proxy MIPv6 (PMIPv6) is developed for providing the mobility for the next-generation network, but it has some limitation as well. In this paper, firstly a survey of various types of protocols based on PMIPv6 protocol is given. Then protocol is selected based on the Quality of Service (QoS) and signaling cost parameters. Two applications are considered i.e. streaming and background traffic class. For streaming traffic class, QoS (handoff latency) parameter is preferred and for background traffic class, signaling cost is preferred. Analytical Hierarchical Process (AHP) method is used for assigning the weight of different traffic class because user`s preferences play an important role in the decision-making process as it enhances the quality of experience of the user. Then multi-attribute decision making (MADM) and prospect theory are used for selection of protocols. Results show that different protocols are selected for different applications. The performance of MADM and prospect theory is shown in terms of accuracy.

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