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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 44601 (19)
- University: Sharif University of Technology
- Department: Computer Engineering
- Advisor(s): Ejlali, Ali Reza
- Abstract:
- Wireless Sensor Networks have become widespread because of their flexibility, applicability and ability to precept data with high accuracy. However, the most limiting factor in their usage is the amount of available energy in nodes since energy depletion in a node means that it is dead, therefore many efforts have been done for optimum energy management in Wireless Sensor Networks. In many cases, the key solution to prolong the network lifetime is load balancing. In this way, all the nodes will die (approximately) together and the lifetime of network will be maximized. Load balancing can be implemented in all layers from physical layer to application. It should be noted that it is not always possible to achieve a complete energy balance in all networks. Because of the ever decreasing energy consumption in sensor nodes, in recent years energy scavenging from environment for longer lifetime of wireless sensor nodes have been considered and become more practical. However as harvested energy is so unreliable, some solutions have been proposed to manage energy consumption in these networks however, none of them provide a reliable scavenged energy source and hence their usage for high sensitivity applications that need sources with high reliability will be challenging. This work proposes a solution to prolong the lifetime of energy harvesting Wireless Sensor Networks and to increase the reliability of scavenged energy. Recently techniques have been provided to remotely transmit energy with adequate efficiency even for long distances. Our idea is to consider the ability of energy transmission between nodes in addition to the ability of scavenging energy in a Wireless Sensor Network. In this way, energy in nodes can be shared among the nodes and if a node's energy becomes depleted, it can receive energy from its energy coupled neighbors. We have analyzed our proposed technique by physically implementing the system as well as simulations with OMNeT++ simulator
- Keywords:
- Wireless Sensor Network ; Energy Management ; Energy Harvesting ; Wireless Energy Transmission
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