In Wireless Sensor Networks (WSN), sensor node deployment is essential for maximizing the coverage and detection probabilities. But the existing optimization solution suffers from limited energy storage, node death, increased network traffic etc. To solve these issues, we propose a fuzzy based optimization model for power management in wireless sensor networks. The objectives considered in the paper include maximizing network coverage, connectivity, network lifetime and minimizing traffic load. A fuzzy rules table is constructed with the input parameters such as node degree, link quality, residual energy and traffic rate. Depending upon the outcome of the fuzzy logic, the nodes are categorized into good, normal and bad. After the initial deployment of good nodes, the SLEEP and WAKEUP Procedure is applied to maximize the lifetime of wireless sensor networks. By putting nodes to sleep when there are no events, the energy consumption of the sensor nodes can be significantly reduced. In SLEEP and WAKEUP Procedure, asynchronous type is used; it allows each node in the wireless sensor network to set its own SLEEP and WAKEUP schedule independently in order to save energy. Simulation result shows that the proposed Procedure provides maximization of the lifetime of Wireless Sensor Network (WSN). INTRODUCTIONWireless sensor networks (WSN) helps in sensing or monitoring physical or environment conditions since the network has distributed autonomous nodes. Sensor nodes consist of one or more sensors, a radio transceiver, a microcontroller and an energy source. Currently WSN has fascinated more number of research interests which is due to potential applications in many areas ranging from environmental observation, natural habitat monitoring, medical, industry and military applications. Searching and developing potentials are essential for formation of multiple mobile sensor nodes in the sensor network. The entire monitoring environment needs to be covered by the mobile sensor nodes using the searching potentials of the sensor network. For the region where concentrated monitoring is essential the sensor nodes are joined using the developing potentials of the sensor network. A novel deployment strategy is required to maximize both the potentials of the sensor networks. Depending upon the coverage of each point in the sensing field, the sensors provide better QoS.[1]The maximum network coverage needs to be achieved by effectively deploying the sensors in an appropriate manner. Energy efficient protocols are aimed at minimizing the energy consumption during network activities. However, a large amount of energy is consumed by node components (CPU, radio, etc.) even if they are idle. Energy or power management schemes are thus used for switching off node components that are not temporarily needed. Several energy conservation schemes have been proposed. They are mainly aimed at minimizing the energy consumption of the communication subsystem.[2]There are two main approaches to energy conservation in-network processing and p...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.