SSTBC: Sleep scheduled and tree-based clustering routing protocol for energy-efficient in wireless sensor networks

Abstract

Since sensor nodes are battery power constrained devices in wireless sensor network (WSN), so how to use the energy of sensor nodes efficiently to prolong the network lifetime is a chief challenge for designing routing protocols. To solve this problem, in this paper, we propose sleep scheduled and tree-based clustering approach routing algorithm (SSTBC) for energy-efficient in WSN. SSTBC preserves energy by turning off radio (entering sleep mode) of either impossible or unnecessary nodes, which observe almost the same information, base on their location information to remove redundant data. In addition, to further reduce energy dissipation of communication in network, we build minimum spanning tree with the root as the cluster head (CH) from active nodes in a cluster to forward data packets to base station (BS). Our simulation results show that the network lifetime with using of our proposed protocol can be improved about 250% and 23% compared to low-energy adaptive clustering hierarchy (LEACH) and power-efficient gathering in sensor information system (PEGASIS), respectively.