Adaptive Multi-Sensing in EH-WSN for Smart Environment

This paper proposes a novel multi-sensing framework for an energy harvesting heterogeneous wireless sensor network. This framework has utility in smart environment application of Internet-of-Things. It considers a network of multiple wireless nodes, each having heterogeneous sensors to sense slowly- varying environment parameters. For monitoring each parameter, the developed strategy adaptively selects the corresponding sensors of a few neighboring nodes for activation, which jointly optimizes the sensing accuracy and energy efficiency. This process effectively activates a subset of sensors at each node. The subset of selected field nodes as well as the activated sensors at each node in the field is dynamically updated, as a function of harvested energy availability and sensing quality. Simulation results demonstrate the energy efficiency and sensing quality of the proposed framework.