Titlebook: Wireless Sensor Networks; Energy Harvesting an Hossam Mahmoud Ahmad Fahmy Book 2020 Springer Nature Switzerland AG 2020 Dynamic Repositioni

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Energy Harvesting in WSNsg the problem of finite node lifetime that hampers wireless nodes performance. Energy harvesting refers to harnessing energy from the environment or other energy sources such as body heat, foot strike, finger strokes, and converting it to electrical energy. The harnessed electrical energy powers the

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Energy Management Techniques for WSNs (1): Duty-Cycling Approachcan be achieved through two different and yet complementary approaches; specifically, topology control and power management. Topology control is by finding the optimal subset of nodes that guarantee connectivity. This scheme exploits node redundancy, which is typical in WSNs, and adaptively selects

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Energy Management Techniques for WSNs (3): Mobility-Based Approachd data through multihop communication to the mobile sink are proposed. The mobile sink can either “jump” between several predefined positions or patrol on a continuous route. When jumping between several predefined positions, the model can be posed as a LP where a mobile sink can find the optimal ti

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WSNs Energy Testbedsand would be environment, they make use of the protocols to be used at a larger scale. Testbeds are intended to safeguard would be implemented WSNs from malfunctions that may not be seen in theoretical simulations. Malfunctions may be in inconvenient hardware, buggy software, and deployment prone to

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Book 2020ies are made clear without leaning on the relaxing assumption that they are already known or easily reachable, the reader is not to be diverted from the main course. Neatly drawn figures assist in viewing and imagining the offered topics. To make energy related topics felt and seen, the adopted tech

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