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Sensors 2017, 17(6), 1343; doi:10.3390/s17061343

Improved Scheduling Mechanisms for Synchronous Information and Energy Transmission

Key Laboratory of Electronics Engineering, College of Heilongjiang University, Harbin 150080, China
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Academic Editor: Davide Brunelli
Received: 14 March 2017 / Revised: 1 June 2017 / Accepted: 7 June 2017 / Published: 9 June 2017
(This article belongs to the Special Issue Energy Harvesting Sensors for Long Term Applications in the IoT Era)
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Abstract

Wireless energy collecting technology can effectively reduce the network time overhead and prolong the wireless sensor network (WSN) lifetime. However, the traditional energy collecting technology cannot achieve the balance between ergodic channel capacity and average collected energy. In order to solve the problem of the network transmission efficiency and the limited energy of wireless devices, three improved scheduling mechanisms are proposed: improved signal noise ratio (SNR) scheduling mechanism (IS2M), improved N-SNR scheduling mechanism (INS2M) and an improved Equal Throughput scheduling mechanism (IETSM) for different channel conditions to improve the whole network performance. Meanwhile, the average collected energy of single users and the ergodic channel capacity of three scheduling mechanisms can be obtained through the order statistical theory in Rayleig, Ricean, Nakagami-m and Weibull fading channels. It is concluded that the proposed scheduling mechanisms can achieve better balance between energy collection and data transmission, so as to provide a new solution to realize synchronous information and energy transmission for WSNs. View Full-Text
Keywords: wireless sensor networks; synchronous information and energy transmission; ergodic channel capacity; scheduling mechanism wireless sensor networks; synchronous information and energy transmission; ergodic channel capacity; scheduling mechanism
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Qin, D.; Yang, S.; Zhang, Y.; Ma, J.; Ding, Q. Improved Scheduling Mechanisms for Synchronous Information and Energy Transmission. Sensors 2017, 17, 1343.

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