Title Topology Control in Energy-harvesting Wireless Sensor Networks

Ambient energy-harvesting technology is a promising approach to keep wire-less sensor networks (WSNs) operating perennially. Depending on the har-vesting source, nodes can either be active (alive) or inactive (dead) at any instant in such Energy-Harvesting WSNs (EH-WSNs). Thus, even in a static deployment of EH-WSNs, the network topology is no longer static. A popular method to increase energy-efficiency in WSNs is by employing topology control algorithms. Most of the topology control algorithms in the literature focus only on the transmission power while constructing a static topology without taking into account the residual energy of the nodes. Con-sequently, they cannot handle the situation when nodes have different energy levels, and when the number of active nodes varies with time in EH-WSN. Since the number of nodes alive in EH-WSNs is varying there is no pos-sibility of having a centralized solution. To address this issue, we present two localized energy based topology control algorithms, viz., EBTC-1 an