Saving energy of the biosensor nodes in WBSN by using Relay nodes using the saving Energy
Keywords:WBAN, Energy consumption, network lifetime.
Wireless Body Area Network (WBAN) refers to a network on the human body. The energy consumption
of biosensor nodes affects the performance of wireless body sensor networks (WBSNs). Vital nodes can
be implanted or worn in the patient's body and vital signs monitored. A new design of a mathematical
model for calculating the energy consumption of the front and rear WBSN of the human body is
proposed. It was developed to enhance wireless body networks. Energy savings for biosensor nodes in
WBSN is achieved by adding relay nodes to WBSN. The energy saved is calculated based on the
approach proposed in this paper. This technique is the relationship between the biosensor nodes, the relay
nodes, and the pelvis nodes on the front side of the body and on the back of the body. The performance of
a wireless body area network, which uses relay nodes to reduce power consumption, has been studied. A
new mathematical model is presented to provide energy consumption for the biosensor nodes. After
testing this model, it was found that the percentage of energy consumption for the sensor nodes was
reduced by up to 72%, which proves the efficiency of the model. The test was done with (MATLAB2021B).
V. Crosby G. Wireless Body Area Networks for Healthcare: A Survey. Int J Ad hoc, Sens
Ubiquitous Comput. 2012;3(3):1–26.
Maman M, Denis B, D’Errico R. Research trends in wireless body area networks: From On-Body
to Body-to-Body cooperation. In: International Symposium on Medical Information and
Communication Technology, ISMICT. Italy: IEEE;2014;1–5.
Reddy S, Ravi C, Sangam S. An energy - efficientmulti - hop routing protocol for health monitoring
in wireless body area networks. Netw Model Anal Heal Informatics Bio Informa. 2019;9(1):21.
Huang X, Wu Y, Ke F, Liu K, Ding Y. An energy-efficient and reliable scheduling strategy for
dynamic WBANs with channel periodicity exploitation. IEEE Sens J. 2019;20(5):2812–24.
Bhardwaj T, Sharma SC. Sustainable Computing :Informatics and Systems Cloud-WBAN : An
experimental framework for Cloud-enabled Wireless Body Area Network with efficient virtual
resource utilization. Sustain Comput Informatics Syst. 2018; 20:14–33.
Prabh KS, Royo F, Tennina S, Olivares T.BANMAC : An Opportunistic MAC Protocol for Reliable
Communications in Body Area Networks. In: 2012 IEEE 8th International Conference on Distributed
Computing in Sensor Systems. China: IEEE; 2012. p. 166–75.
Romero N, Sharma M. EAI Endorsed Transactions Designing human data interactions in
Jagadeeswari V, Subramaniyaswamy V, Logesh R,Vijayakumar V. A study on medical Internet of
Things and Big Data in personalized healthcaresystem. Heal Inf Sci Syst. 2018;6(1):14.
Nadeem Q, Javaid N, Mohammad SN, Khan MY, Sarfraz S, Gull M. SIMPLE: Stable increasedthroughput
multi-hop protocol for link efficiency in Wireless Body Area Networks. In: Proceedings -
8th International Conference on Broadband, Wireless Computing, Communication and
Applications, BWCCA 2013. France: IEEE; 2013. p.221–6.
Javaid N, Abbas Z, Fareed MS, Khan ZA, Alrajeh N.M-ATTEMPT: A New Energy-Efficient
Routing Protocol for Wireless Body Area Sensor Networks.Procedia Comput Sci. 2013;19:224–31.
Mohamed M. Characterization of dynamic wirelessbody area network channels during
walking.EURASIP J Wirel Commun Netw. 2019;104(1–12).
Javaid N, Ahmad A, Khan Y, Ali Z, Turki K ,Alghamdi A. A Relay Based Routing Protocol for Wireless In-
Body Sensor Networks. Wirel Pers Commun. 2015; 80:1063–1078.
Bilandi N, Verma HK, Dhir R. PSOBAN : a novelparticle swarm optimization based protocol
forwireless body area networks. SN Appl Sci.2019;1(11):1492.
Sharma M, Romero N. EAI Endorsed TransactionsFuture Prospective of Soft Computing
Techniques inPsychiatric Disorder Diagnosis. 2018;4(15):2–4.
B. Braem, B. Latré, I. Moerman, C. Blondia, E. Reusens, W. Joseph, L. Martens, and P. Demeester,
“The need for cooperation and relaying in short-range high path loss sensor networks,” in Sensor
Technologies and Applications, 2007. SensorComm 2007. International Conference on. IEEE, pp.
J. I. Bangash, A. W. Khan, and A. H. Abdullah, “Data-Centric Routing for Intra Wireless Body
Sensor Networks,” J. Med. Syst., vol. 39, no. 9, p. 91, 2015.
a. Fort, J. Ryckaert, C. Desset, P. De Doncker, P. Wambacq, and L. Van Biesen, “Ultra-wideband
channel model for communication around the human body,” IEEE J. Sel. Areas Commun., vol. 24,
no. 4, pp. 927–933, 2006.
Gondogdu K, Calhan A. An Implementation of Wireless Body Area Networks for Improving
Priority Data Transmission Delay. J Med Syst. 2016;40(3):75.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Journal of education for Pure Science (Jeds), University of Thi-Qar as publisher of the journal.
Copyright encompasses exclusive rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms and any other similar reproductions, as well as translations. The reproduction of any part of this journal, its storage in databases and its transmission by any form or media, such as electronic, electrostatic and mechanical copies, photocopies, recordings, magnetic media, etc. , will be allowed only with a written permission from Journal of education for Pure Science (Jeds), University of Thi-Qar.
Journal of education for Pure Science (Jeds), University of Thi-Qar, the Editors and the Advisory International Editorial Board make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in the Journal of education for Pure Science (Jeds), University of Thi-Qar are sole and exclusive responsibility of their respective authors and advertisers.