Green computing in IoT: time slotted simultaneous wireless information and power transfer

Jaiswal, A, Kumar, S, Kaiwartya, O ORCID: https://orcid.org/0000-0001-9669-8244, Prasad, M, Kumar, N and Song, H, 2021. Green computing in IoT: time slotted simultaneous wireless information and power transfer. Computer Communications, 168, pp. 155-169. ISSN 0140-3664

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Abstract

Simultaneous Wireless Information and Power Transfer (SWIPT) is an emerging field to transmit informationand power in IoT network through the same RF signal. Time switching (TS) protocol is more favorable in freespace communication than Power Splitting (PS) protocol when the transmitted RF signal is already weak. This isbecause, transmitted signal loses its power due to attenuation in free space, and using PS design receiver circuit(complex), the received weak signal is further split into two fraction for energy harvesting (EH) and informationdecoding (ID) simultaneously, that causes inadequacy in SWIPT system. Whereas, using TS design receivercircuit (simple) insert extra delay in the network as EH and ID operations are done in two different timedomain one by one. Literature on SWIPT lacks towards cooperation between more energy harvesting in case offree space communication (TS) and critical information transmission in case of delay constraint communication(PS). In this context, this paper presents a time-slotted SWIPT (T-SWIPT) focusing on maximization of energyefficiency in the relay based sensors-enabled IoT network. It enables simultaneous energy harvesting at receiverand neighboring sensors without adding extra delay in the network. The PS ratio, transmission power allotmentand energy broadcast time are jointly formulated as non-convex energy efficiency maximization problem. Asolution to the problem is presented using Lagrangian dual decomposition and fractional programming. Theperformance evaluation shows that T-SWIPT attains optimum energy efficiency by trading off transmissionpower allotment, power-splitting ratio and sink broadcast time slot.

Item Type:	Journal article
Publication Title:	Computer Communications
Creators:	Jaiswal, A., Kumar, S., Kaiwartya, O., Prasad, M., Kumar, N. and Song, H.
Publisher:	Elsevier BV
Date:	15 February 2021
Volume:	168
ISSN:	0140-3664
Identifiers:	Number Type 10.1016/j.comcom.2020.12.024 DOI S0140366421000220 Publisher Item Identifier 1448361 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	30 Jun 2021 10:49
Last Modified:	21 Jan 2023 03:00
URI:	https://irep.ntu.ac.uk/id/eprint/43274

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