Balancing Energy Harvesting and Transmission Scheduling in Aggregation Convergecast

Abstract

We study tradeoffs between aggregation convergecast and energy harvesting in wireless sensor networks. Existing aggregation convergecast algorithms do not capture the volatile nature of energy reserves of energy harvesting nodes. We therefore propose, and evaluate, new scheduling schemes to address this gap. We also introduce metrics to capture the impact of the inevitable energy depletion on the quantity of aggregated data received at a sink node. Specifically, we consider node behaviors where the inability to perform prompt communication due to energy depletion results in a reduction of the sampling rate (including for aggregated data) and, if it persists, loss of data. The performance evaluation is based on heat flow data collected from an apartment building in the Canadian North. The collected heat flow data are used to approximate the energy harvesting output of thermoelectric harvesters. CCS CONCEPTS • Networks → Sensor networks; In-network processing; Logical / virtual topologies; • Hardware → Energy generation and storage;

Efficient Cluster Head Selection in WSN Using Secure Mobility Cluster Based Algorithm

“…The propagation method between the hops might be directing or flooding. Past assessments [2] had exhibited that communication is the costliest action for a WSNs to the extent power use. In this manner, the life-cycle of a WSN, is upgraded by restricting the exchanges between sensor nodes, for instance by grasping data blend procedures [3].…”