Hybridization of Energy-Efficient Clustering and Multi-heuristic Strategies to Increase Lifetime of Network—A Review

Wireless sensor network has significant applications but few flaws also exist. The flaw of sensor energy consumption requires to be tackled. The sensor is an integrated component of WSN that is used to collect data and then store within the data store. Sensors have limited energy associated with them. Conserving energy so that data collection can be prolonged is discussed through this paper. There are many mechanisms including LEACH, DEEC, MDEEC, EDEEC, etc., and all these mechanisms conserve energy but optimization in each protocol is missing. Problems associated with listed protocols are discussed, and mechanisms used to overcome the problems are also briefed. Nodes collaborating form clusters. Data transmission takes place from distinct clusters toward the base station. The energy of sensors needs to be preserved to enhance the lifetime of the network. This paper presents an overview of various existing metaheuristic techniques used to enhance the lifetime of the network. The multi-heuristic algorithms are chosen because it optimized energy of sensors or prevented from deterioration. The degradation is indicated in terms of packet drop ratio for determining network bandwidth. The analysis of some popular protocols has been done in this paper which can be used for future enhancements. DEEC protocol is best of all and can be used for optimization purposes. Energy efficiency predictions will be better in case sensors and can consume less energy.