Power-Efficient Gathering in Sensor Information System Architectures with a Phase-Based Coverage Algorithm in a Wireless Sensor Network

To save the energy consumption of sensor nodes so that the network lifetime can be extended is an important issue in wireless sensor networks (WSNs). The main objective of this paper is to investigate how to reduce energy consumption and to extend the entire network lifetime. Quang et al. employ Low-energy adaptive clustering hierarchy (LEACH) in combination with coverage algorithm to locate the wireless sensor nodes permitted to operate in the sleep mode. A simulation validates that such network provides a longer system lifetime than the LEACH does, with a drawback that a number of sensor nodes cannot be made enter the sleep mode as requested, implying that more energy is consumed than required. Because the performance of PEGASIS topology architecture is better than LEACH topology architecture, we will propose a new scheme using a chainbased protocol. In this paper, we propose the power-efficient gathering in sensor information system (PEGASIS) topology architecture with the phase-based coverage algorithm (PBCA) to find the redundant nodes which can enter to sleep mode. Furthermore, we also propose another algorithm to improve the leader selection method to reduce the energy consumption of data which are transmitted from leader node to base station (BS). Therefore, our proposed algorithms can reduce the energy consumption of nodes and extend the network lifetime. Simulation results show that the performances of our algorithms outperform LEACH topology architecture, PEGASIS topology architecture, and the LEACH with PBCA topology architecture in terms of energy consumptions, number of nodes alive, and sensing areas.