Boumaiz, M. and El Ghazi, M. and Mazer, S. and Fattah, M. and Bouayad, A. and El Bekkali, M. and Balboul, Y. (2019) Energy harvesting based WBANs: EH optimization methods. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Wireless Body Sensor Networks (WBAN) are a special case of wireless sensor networks (WSN), developed to operate at the human body scale. Thus, energy efficiency is one of the major aspects that must be taken into consideration before designing any WBAN solution, because the change of batteries could be very difficult, especially when sensors are implanted inside the human body. For this reason, several research projects have been carried out on the adoption of energy harvesting schemes, that aim to collect energy from several sources surrounding the human body (sun, body warmth, movements, heartbeat, RF radiation ...) and transform it into an electrical energy to power the nodes of a WBAN. Nevertheless, this harvested energy must also be better exploited, given the temporal variation nature of these alternative sources. The purpose of this paper is to present a general overview of energy harvesting schemes, as well as methods in literature focusing on optimizing the exploitation of the harvested energy in a WBAN, through Mac, routing or physical layer protocols. © 2019 The Authors. Published by Elsevier B.V.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Body sensor networks; Energy efficiency; Industry 4.0; Medium access control; Network layers; Power management (telecommunication); Wireless local area networks (WLAN), Alternative source; Electrical energy; MAC protocol; Optimization method; Physical layers; RF radiation; Temporal variation; Wireless body sensor networks, Energy harvesting
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:45
URI: http://eprints.umi.ac.ma/id/eprint/2307

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