A level-wise periodic tree construction mechanism for sleep scheduling in WSN

Abstract

The wireless sensor network (WSN) has been extensively used to monitor and control the natural ecosystem on a large scale like air quality, natural life, etc. Low battery power, small storage, and limited processing ability are the most critical areas of concern in WSN. To reduce energy utilization, the sensor nodes in WSN work in a cyclic process between active and sleep mode. A certain number of nodes are chosen active, and they are responsible for sensing as well as data transmission, and the rest of the nodes are gone to sleep. With the objective to lengthen the durability of the network, we have presented a level wise periodic tree construction algorithm. The algorithm uses a specific set of nodes to participate in tree construction. To minimize the overall energy consumption, all nodes do not need to participate in transmission and reception. As per the suggested procedure, the main goal is to put the nodes, which are currently active and have already spent a significant amount of energy, to sleep mode. The proposed approach will provide a chance to the leaf nodes to become active and uphold the connectivity. The performance of the proposed protocol is evaluated using the Castalia simulator. The simulation results show that the proposed level wise periodic tree construction approach increases the durability of the network in conjunction with the non level approach.