Predictable type-2 fuzzy mobile units for energy balancing in wireless sensor networks

Several studies have examined mobility to improve the performance of ad hoc networks and to provide intermittent connectivity in a disconnected ad hoc network. However, the mobility application is new to the current wireless sensor network domain. Latency and energy efficiency are two crucial parameters for evaluating wireless sensor networks. We considered the tradeoffs between the delay performance and the energy efficiency offered by using the fuzzy analysis model. In our study, we used the following factors to improve the system performance: the energy, distance, mobility, and interference time between nodes. In addition, to verify our system rules, we used a questionnaire to obtain linguistic knowledge from a group of experts. The contribution of this study is twofold. First, we propose a role-based mobility-aware inference mechanism for determining the energy, distance, speed, and identity of wireless network system performance. Second, we applied the type-2 fuzzy inference system to the decision making process, and the simulation results indicate that the scheme may extend the lifetime of networks and achieve optimal energy balance.