Distributed and energy efficient self-organization for on-off wireless sensor networks

Abstract

We utilize clustering to achieve energy efficiency for an on-off wireless sensor network, whose member nodes alternate between active and inactive states. In the proposed distributed and energy efficient self-organization (DEESO) scheme, the head election is adjusted adaptively to the energy reserve of local active nodes. Furthermore, we apply adaptive channel assignment to address the on-off topology changes. Simulation results show that DEESO delivers 184% amount of data to the base station compared to LEACH (low energy adaptive clustering hierarchy) for the same amount of dissipation and the effective network lifetime is extended by around 56%.