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Modeling and analysis of simultaneous information and energy transfer in Internet of Things
Author(s) -
Liu Chang,
Natarajan Balasubramaniam
Publication year - 2017
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.3177
Subject(s) - computer science , transmission (telecommunications) , information transfer , default gateway , energy (signal processing) , transmitter power output , maximum power transfer theorem , gateway (web page) , process (computing) , power (physics) , interference (communication) , wireless network , key (lock) , wireless , internet of things , computer network , telecommunications , channel (broadcasting) , transmitter , computer security , physics , quantum mechanics , world wide web , operating system , statistics , mathematics
The Internet of Things (IoT) will allow unprecedented connectivity among devices and is predicted to make our world smarter . However, due to battery constraints, energy efficiency of IoT with numerous smart devices is a key challenge. Simultaneous information and energy transfer (SIET) is a promising method to provide green energy for energy‐constrained wireless networks. This paper, for the first time, investigates the modeling and analysis of SIET in a network where IoT nodes are powered via IoT gateways. Specifically, a Ginibre point process that captures the repulsion between spatially distributed nodes is used to model the IoT gateway network. The goal of our work is to uncover a strategy to balance the trade‐off between power outage probability and transmission outage probability by a careful design of the power split ratio of SIET. To achieve that, we derive closed‐form expressions for these 2 probabilities in IoT for a practical case. The simulation results verify our theoretical results and illustrate the effects of different network parameters (eg, transmit power and density of gateways and signal‐to‐interference‐plus‐noise ratio threshold) on SIET.

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