Title: Threshold-based cooperative communication of energy harvesting active networked tags

Authors: Mengistu A. Mulatu; Li-Chung Chang; Yunghsiang S. Han; Fikreselam G. Mengistu; Der-Feng Tseng

Addresses: Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei City 10607, Taiwan ' Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei City 10607, Taiwan ' Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei City 10607, Taiwan ' Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei City 10607, Taiwan ' Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Taipei City 10607, Taiwan

Abstract: Using cooperative transmission allows energy-harvesting active networked tags (EnHANTs) to cooperate regarding information transmission and reception, achieving higher throughput compared with non-cooperative counterparts. In this paper, a battery-threshold-based optimal cooperative transmission strategy is proposed for EnHANTs, allowing EnHANT-equipped objects to communicate with the destination (i.e., the reader) either directly or by cooperating with neighbouring objects. A strategy adapted to request states and available energy resources is considered, and an optimal transmission policy for EnHANTs is developed to maximise the long-term average throughput by formulating a Markov decision process (MDP) model. The simulated results indicate that the proposed strategy yields superior performance compared with single-link transmission.

Keywords: cooperative transmission strategy; energy harvesting tags; MDP; Markov decision process; value iteration; battery threshold; cooperative communication; simulation.

DOI: 10.1504/IJAHUC.2017.082847

International Journal of Ad Hoc and Ubiquitous Computing, 2017 Vol.24 No.4, pp.225 - 236

Received: 16 Jul 2014
Accepted: 03 Nov 2014

Published online: 12 Mar 2017 *

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