Entropy-Based Individual/Community Mobility Model

We have described the entropy-based mobility model that is a good indicator for exploiting the mobility patterns of mobile nodes in mobile ad hoc networks including its application to the virtual space. We have articulated that the use of the entropy-based mobility model in community structure environment has enabled the classification of mobile environments in terms of mobility entropy and the development of the potential-based adaptive routing that has shown superior performance over the variable topology mobile ad hoc network. The entropy-based weighted cluster algorithm is described along with its optimization using Tabu search (TS) in the EWCA-TS algorithm that has enhanced network performances in the mobile ad hoc network.