Adaptive Cluster-Head Algorithm for Bluetooth Ad Hoc Networks

Ad hoc networks have brought many varieties of applications for mobile digital devices, such as body area multimedia environment, smart home networks, and sensor networks, etc. However, because batteries carried by each mobile node have limited power, energy efficiency becomes one of the most important issues of ad hoc networks. In this paper, we propose a novel adaptive cluster-head algorithm for ad hoc networks based on Bluetooth technology, which selects candidates for cluster-head by fuzzy logic algorithm and generates a flexible structure to share the power consumption and traffic load with the cluster-head dynamically. Simulation results show that the networking lifetime is increased substantially with respect to LMS and BlueMesh algorithms.