Increasing life-time of wireless sensor network using energy-efficient and fault tolerance algorithms

Abstract

Energy-efficiency ofwireless sensor networks (WSN) becomes an essential issue in the research area. This is because of the energy constraints in WSN that depend on a battery, which is difficult to replace or recharge; therefore, multiple clustering algorithms were proposed to achieve efficiency in using the available energy as much as possible. This paper proposed energy-efficient and fault-tolerance algorithms that enhance thelow energy adaptive clustering hierarchy (LEACH) protocol by three algorithms. The first focuses on selecting the best cluster head and the second focuses on minimizing the required nodes within the same cluster. Simultaneously, the third fault tolerance algorithm uses software engineering techniques like sleep schedules to increase network lifetime as much as possible. The testing results of the proposed algorithms prove the claim of enhancing the lifetime of WSN. In order to check improvement of lifetime of WSN we have compered the results of the proposed algorithms with standered algorthim. The results show prove the claim of enhancing the life-time of WSN, where the total lifetime of WSN rise from about 550 rounds to reach 4100 when utilized self-checking process and rised up to 5200 after enhance minimum distans.

Investigation of Energy Efficient Clustering Algorithms in WSNs: A Review

“…In a heterogeneous system, on the other hand, WSN scheme nodes with different resources per node are used. The benefit of this type of WSNs is the ability to increase the network lifetime and the main roles of the network are delegated to nodes with higher residual energy, usually called cluster heads [18]. Resource allocation is an important issue in WSN, optimal allocation will help increase the lifetime of WSN [19].…”