Anwar, Muhammad and Abdullah, Abdul Hanan and Altameem, Ayman and Qureshi, Kashif Naseer and Masud, Farhan and Faheem, Muhammad and Cao, Yue and Kharel, Rupak (2018) Green communication for wireless body area networks: Energy aware link efficient routing approach. Sensors (Switzerland), 18 (10). ISSN 1424-8220
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Official URL: http://dx.doi.org/10.3390/s18103237
Abstract
Recent technological advancement in wireless communication has led to the invention of wireless body area networks (WBANs), a cutting-edge technology in healthcare applications. WBANs interconnect with intelligent and miniaturized biomedical sensor nodes placed on human body to an unattended monitoring of physiological parameters of the patient. These sensors are equipped with limited resources in terms of computation, storage, and battery power. The data communication in WBANs is a resource hungry process, especially in terms of energy. One of the most significant challenges in this network is to design energy efficient next-hop node selection framework. Therefore, this paper presents a green communication framework focusing on an energy aware link efficient routing approach for WBANs (ELR-W). Firstly, a link efficiency-oriented network model is presented considering beaconing information and network initialization process. Secondly, a path cost calculation model is derived focusing on energy aware link efficiency. A complete operational framework ELR-W is developed considering energy aware next-hop link selection by utilizing the network and path cost model. The comparative performance evaluation attests the energy-oriented benefit of the proposed framework as compared to the state-of-the-art techniques. It reveals a significant enhancement in body area networking in terms of various energy-oriented metrics under medical environments.
Item Type: | Article |
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Uncontrolled Keywords: | Energy efficiency, routing protocol, wearable sensors, wireless body area networks (WBANs) |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computing |
ID Code: | 86102 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 30 Aug 2020 08:56 |
Last Modified: | 30 Aug 2020 08:56 |
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