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- W133108586 abstract "Wireless sensor network comprising of energy harvesting (EH) devices is a system that derives energy from the environment. The energy from external source is not continuous and the amount of energy harvested in the network is highly variable. Therefore the challenge in such networks is to efficiently utilize the varying energy within the node and across the network and yet meet performance objectives. In this thesis we consider the possibility of network coding along with adaptive power control for data transmission in linear EH networks and study techniques to maximize throughput and to manage energy consumption in the system. Traditional power control techniques aim to mitigate multiple user interference or increase signal to noise ratio in the network. On the other hand, the power control technique used here is to increase transmission range to sustain communication and create network coding opportunities at the intermediate nodes. This in turn minimizes the number of transmissions and receptions required to exchange information across the network resulting in a net increase in throughput. Our results show that the network coding along with power control technique gives higher data throughput along with reduction in total energy consumption of the network when compared to either network coding or simple data forwarding. Master of Science Thesis Sakthi Priya Sathyanarayanan" @default.
- W133108586 created "2016-06-24" @default.
- W133108586 creator A5076299926 @default.
- W133108586 date "2011-08-25" @default.
- W133108586 modified "2023-09-26" @default.
- W133108586 title "A Study of Joint Network Coding and Power Control in Energy Harvesting Networks" @default.
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