Abstract
With the emergence of hyper-connected societies in which people and things are connected over networks, new generations of smart devices with multiple functionalities have been proliferating. In addition to personal communication tools, devices have been developed to bring intelligence to users, objects and spaces via inter-terminal connections, such as the internet of things IoTs and 5G mobile communications. Hence, seamless mobility of the sensors used for these communications is important for fulfilling their services. To address this need, network-based mobility management protocols can be applied to sensor networks. In this paper, we evaluate the performance of mobility management using F-HMIPv6, PMIPv6, HMIPv6 and FPMIPv6 with fluid-flow and random-walk models. Experimental results show that the location update costs of PMIPv6 and FPMIPv6 are better than those of HMIPv6 and F-HMIPv6.
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