More Web Proxy on the site http://driver.im/

survey

Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence

Authors:

Ahmed Al-Dubai,

Youssef NasserAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 50, Issue 1

Article No.: 3, Pages 1 - 38

https://doi.org/10.1145/3041956

Published: 10 March 2017 Publication History

Abstract

Wireless Body Area Network (WBAN) has been a key element in e-health to monitor bodies. This technology enables new applications under the umbrella of different domains, including the medical field, the entertainment and ambient intelligence areas. This survey paper places substantial emphasis on the concept and key features of the WBAN technology. First, the WBAN concept is introduced and a review of key applications facilitated by this networking technology is provided. The study then explores a wide variety of communication standards and methods deployed in this technology. Due to the sensitivity and criticality of the data carried and handled by WBAN, fault tolerance is a critical issue and widely discussed in this paper. Hence, this survey investigates thoroughly the reliability and fault tolerance paradigms suggested for WBANs. Open research and challenging issues pertaining to fault tolerance, coexistence and interference management and power consumption are also discussed along with some suggested trends in these aspects.

References

[1]

K. T. Meena Abarna and K. Venkatachalapathy. 2014. Cluster based failure detection and recovery technique for wireless body area networks. Research Journal of Applied Sciences, Engineering and Technology 7, 17 (2014), 3458--3465.

[2]

Raza H. Abedi, Nauman Aslam, and Sayeed Ghani. 2011. Fault tolerance analysis of heterogeneous wireless sensor network. In Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 000175-000179.

[3]

Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam, and Erdal Cayirci. 2002. A survey on sensor networks. IEEE Communications Magazine 40, 8 (2002), 102--114.

Digital Library

[4]

Rasha Al-Khansa and Hassan Artail. 2015. A semi-distributed LTE-WiFi system design for future LTE-unlicensed: Deployments in small-cell environments. In Proceedings of the 11^th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 43--50.

[5]

Muhammad Mahtab Alam and Elyes Ben Hamida. 2015. Interference mitigation and coexistence strategies in IEEE 802.15.6 based wearable body-to-body networks. In Proceedings of the International Conference on Cognitive Radio Oriented Wireless Networks. Springer International Publishing, 665--677.

[6]

Atif Alamri, Wasai Shadab Ansari, Mohammad Mehedi Hassan, M. Shamim Hossain, Abdulhameed Alelaiwi, and M. Anwar Hossain. 2013. A survey on sensor-cloud: Architecture, applications, and approaches. International Journal of Distributed Sensor Networks 2 (2013), 18. 917923.

[7]

Mehdi Alasti, Martina Barbi, and Kamran Sayrafian. 2014. Uncoordinated strategies for inter-BAN interference mitigation. In Proceedings of the 25th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC). IEEE, 2150--2154.

[8]

Khaled A. Ali, Jahangir H. Sarker, and Hussein T. Mouftah. 2010. Urgency-based MAC protocol for wireless sensor body area networks. In Proceedings of the IEEE International Conference on Communications Workshops. IEEE, 1--6.

[9]

Erika Almeida, André M. Cavalcante, Rafael C. D. Paiva, Fabiano S. Chaves, Fuad M. Abinader, Robson D. Vieira, Sayantan Choudhury, Esa Tuomaala, and Klaus Doppler. 2013. Enabling LTE/WiFi coexistence by LTE blank subframe allocation. In Proceedings of the IEEE International Conference on Communications (ICC). IEEE, 5083--5088.

[10]

Nancy Alrajei and Huirong Fu. 2014. A survey on fault tolerance in wireless sensor networks. In Proceedings of the 3rd International Conference on Sensor Technologies and Applications, 2009 (SENSORCOMM’09). 366--371.

[11]

Deena M. Barakah and Muhammad Ammad-uddin. 2012. A survey of challenges and applications of wireless body area network (WBAN) and role of a virtual doctor server in existing architecture. In Proceedings of the 3rd International Conference on Intelligent Systems Modelling and Simulation. IEEE, 214--219.

Digital Library

[12]

M. Bellalouna, and A. Ghabri. 2013. A priori methods for fault tolerance in wireless sensor networks, In Proceedings of the 2013 World Congress on Computer and Information Technology (WCCIT), IEEE, 1--6.

[13]

Monia Bellalouna and Afef Ghabri. 2013. A priori methods for fault tolerance in wireless sensor networks. In Proceedings of the 2013 World Congress on Computer and Information Technology (WCCIT). IEEE, 1--6.

[14]

Fabio Bellifemine, Giancarlo Fortino, Roberta Giannantonio, Raffaele Gravina, Antonio Guerrieri, and Marco Sgroi. 2011. SPINE: A domain-specific framework for rapid prototyping of WBSN applications. Software: Practice and Experience 41, 3 (2011), 237--265.

Digital Library

[15]

Lucia Lo Bello and Emanuele Toscano. 2009. Coexistence issues of multiple co-located IEEE 802.15.4/ZigBee networks running on adjacent radio channels in industrial environments. IEEE Transactions on Industrial Informatics 5, 2 (2009), 157--167.

[16]

Elyes Ben Hamida, Guillaume Chelius, and Jean-Marie Gorce. 2009. Impact of the physical layer modeling on the accuracy and scalability of wireless network simulation. Simulation 85 (2009), 574--588.

Digital Library

[17]

Azzedine Boukerche. 2005. Handbook of Algorithms for Wireless Networking and Mobile Computing. CRC Press.

[18]

Riccardo Cavallari, Flavia Martelli, Ramona Rosini, Chiara Buratti, and Roberto Verdone. 2014. A survey on wireless body area networks: technologies and design challenges. IEEE Communications Surveys and Tutorials 16, 3 (2014), 1635--1657.

[19]

Craig A. Chin, Garth V. Crosby, Tirthankar Ghosh, and Renita Murimi. 2012. Advances and challenges of wireless body area networks for healthcare applications. In Proceedings of the 2012 International Conference on Computing, Networking and Communications (ICNC). IEEE, 99--103.

[20]

C. N. A. P. Staff. 2013. Network Basics Companion Guide. Cisco Press.

[21]

G. V. Crosby, T. Ghosh, R. Murimi, and C. A. Chin. 2012. Wireless body area networks for healthcare: A survey. International Journal of Ad hoc, Sensor 8 Ubiquitous Computing (IJASUC) 3, 3, 1--19.

[22]

Garth V. Crosby, Tirthankar Ghosh, Renita Murimi, and Craig A. Chin. 2012. Wireless body area networks for healthcare: A survey. International Journal of Ad Hoc, Sensor and Ubiquitous Computing (IJASUC) 3, 3 (2012), 1--19.

[23]

David M. Davenport, Budhaditya Deb, and Fergus J. Ross. 2009. Wireless propagation and coexistence of medical body sensor networks for ambulatory patient monitoring. In Proceedings of the 6th International Workshop on Wearable and Implantable Body Sensor Networks. IEEE, 41--45.

Digital Library

[24]

Ruben de Francisco, Li Huang, and Guido Dolmans. 2009. Coexistence of WBAN and WLAN in medical environments. In Proceedings of the 70^th IEEE Vehicular Technology Conference Fall (VTC 2009-Fall). IEEE, 1--5.

[25]

Jie Dong and David Smith. 2013. Coexistence and interference mitigation for wireless body area networks: Improvements using on-body opportunistic relaying. arXiv preprint arXiv, 1305.6992.

[26]

Igor Dotlic. 2011. Interference performance of IEEE 802.15.6 impulse-radio ultra-wideband physical layer. In Proceedings of the 22nd IEEE International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC). IEEE. 2148--2152.

[27]

Du Dakun, Hu Fengye, Wang Feng, Wang Zhijun, Du Yu, and Wang Lu. 2015. A game theoretic approach for inter-network interference mitigation in wireless body area networks. China Communications 12, 9 (2015), 150--161.

[28]

Stefano Galzarano, Giancarlo Fortino, and Antonio Liotta. 2012. Embedded self-healing layer for detecting and recovering sensor faults in body sensor networks. In Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2377--2382.

[29]

Satish K. Garg, Sherwyn Schwartz, and Steven V. Edelman. 2004. Improved glucose excursions using an implantable real-time continuous glucose sensor in adults with type 1 diabetes. Diabetes Care 27, 3 (2004), 734--738.

[30]

Sai Anand Gopalan and Jong-Tae Park. 2010. Energy-efficient MAC protocols for wireless body area networks: Survey. In Proceedings of the International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 739--744.

[31]

Thaier Hayajneh, Ghada Almashaqbeh, Sana Ullah, and Athanasios V. Vasilakos. 2014. A survey of wireless technologies coexistence in WBAN: Analysis and open research issues. Wireless Networks 20, 8 (2014), 2165--2199.

Digital Library

[32]

Hongliang Ren and Max Q.-H. Meng. 2006. Understanding the mobility model of wireless body sensor networks. In Proceedings of the 2006 IEEE International Conference on Information Acquisition. IEEE, 306--310.

[33]

Young-Sik Jeong, Hyun-Woo Kim, and Jong Hyuk Park. 2014. Visual scheme monitoring of sensors for fault tolerance on wireless body area networks with cloud service infrastructure. International Journal of Distributed Sensor Networks 2014.

[34]

Jamil Y. Khan and Mehmet R. Yuce. 2010. Wireless body area network (WBAN) for medical applications. New Developments in Biomedical Engineering. INTECH (2010), ISBN 978-953-7619-57-2, 592--627.

[35]

Barbara T. Korel and Simon G. M. Koo. 2007. Addressing context awareness techniques in body sensor networks. In Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW’07) 2 (2007), IEEE, 798--803.

Digital Library

[36]

Ravindra V. Kshirsagar and Ashish B. Jirapure. 2011. A survey on fault detection and fault tolerance in wireless sensor networks. In Proceedings of the International Conference on Benchmarks in Engineering Science and Technology (ICBEST (1)). 3 (2011), International Journal of Computer Science. 130--138.

[37]

Benoît Latré, Bart Braem, Ingrid Moerman, Chris Blondia, and Piet Demeester. 2011. A survey on wireless body area networks. Wireless Networks 17, 1 (2011), 1--18.

Digital Library

[38]

Thien T. T. Le and Sangman Moh. 2015. Interference mitigation schemes for wireless body area sensor networks: A comparative survey. Sensors 15, 6 (2015), 13805--13838.

[39]

Bin Liu, Zhisheng Yan, and Chang Wen Chen. 2011. CA-MAC: A hybrid context-aware MAC protocol for wireless body area networks. In Proceedings of the 13th IEEE International Conference on e-Health Networking Applications and Services (Healthcom). IEEE, 213--216.

[40]

Hai Liu, Amiya Nayak, and Ivan Stojmenovi&cgrave;. 2009. Fault-tolerant algorithms/protocols in wireless sensor networks. In Guide to Wireless Sensor Networks, Springer, London, 261--291.

[41]

Arunanshu Mahapatro and Pabitra Mohan khilar. 2011. Online fault detection and recovery in body sensor networks. In Proceedings of the World Congress on Information and Communication Technologies (WICT). IEEE, 407--412.

[42]

Vikash Mainanwal, Mansi Gupta, and Shravan Kumar Upadhayay. 2015. A survey on wireless body area network: Security technology and its design methodology issue. In Proceedings of the International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS). IEEE, 1--5.

[43]

Bhavneesh Malik and V. R. Singh. 2013. A survey of research in WBAN for biomedical and scientific applications. Health and Technology 3, 3 (2013), 227--235.

[44]

Jhon. M. Maloney and John T. Santini, Jr. 2004. Implantable microchips for controlled drug delivery. In Proceedings of the 26^th IEEE Annual International Conference Engineering in Medicine and Biology Society (IEMBS’04). 1 (2004), 2668--2669.

[45]

Flavia Martelli and Roberto Verdone. 2012. Coexistence issues for wireless body area networks at 2.45 gHz. In Proceedings of the 18th European Wireless Conference 2012, EW, VDE. 1--6.

[46]

Sushruta Mishra, Lambodar Jena, and Aarti Pradhan. 2012. Fault tolerance in wireless sensor networks. International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), 2, 10, 146--153.

[47]

Amirhossein Moravejosharieh and Jaime Lloret. 2015. A survey of IEEE 802.15.4 effective system parameters for wireless body sensor networks. International Journal of Communication Systems (2015). 1--24.

[48]

Samaneh Movassaghi, Mehran Abolhasan, and Justin Lipman. 2013. A review of routing protocols in wireless body area networks’. Journal of Network and Computer Applications 8, 3, (March 2013), 559--575. 10.4304/jnw.8.3

[49]

Samaneh Movassaghi, Mehran Abolhasan, Justin Lipman, David Smith, and Abbas Jamalipour. 2014. Wireless body area networks: A survey. IEEE Communications Surveys and Tutorials 16, 3, (2014), 1658--1686.

[50]

Georgia D. Ntouni, Athanasios S. Lioumpas, and Konstantina S. Nikita. 2014. Reliable and energy-efficient communications for wireless biomedical implant systems. IEEE Journal of Biomedical and Health Informatics 18, 6, (2014), 1848--1856.

[51]

Horacio Antonio Braga, Fernandes De Oliveira, Azzedine Boukerche, Eduardo Freire Nakamura, and Antonio Alfredo Ferreira Loureiro. 2009. An efficient directed localization recursion protocol for wireless sensor networks. IEEE Transactions on Computers 58, 5, (2009), 677--691.

Digital Library

[52]

Begonya Otal, Christos Verikoukis, and L. Alonso. 2009. Fuzzy-logic scheduling for highly reliable and energy-efficient medical body sensor networks. In Proceedings of the 2009 IEEE International Conference on Communications Workshops. IEEE, 1--5.

[53]

Chris Otto, Aleksandar Milenkovic, Corey Sanders, and Emil Jovanov. 2006. System architecture of a wireless body area sensor network for ubiquitous health monitoring. Journal of Mobile Multimedia 1, 4, (2006), 307--326.

Digital Library

[54]

Maulin Patel and Jianfeng Wang. 2010. Applications, challenges, and prospective in emerging body area networking technologies. IEEE Wireless Communications Magazine 17, 1, (2010), 80--88.

Digital Library

[55]

K. M. Karthick Raghunath and N. Rengarajan. 2013. Investigation of faults, errors and failures in wireless sensor network: A systematical survey. International Journal of Advanced Computer Research 3, 3, (2013), 151.

[56]

Sanaz Rezvani and Seyed Ali Ghorashi. 2013. Context aware and channel-based resource allocation for wireless body area networks. IET Wireless Sensor Systems 3, 1 (2013), 16--25.

[57]

Nadisanka Rupasinghe and İsmail Güvenç. 2015. Reinforcement learning for licensed-assisted access of LTE in the unlicensed spectrum. In Proceedings of the 2015 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 1279--1284.

[58]

Tom Rutherford and A. Socio. 2012. Population ageing: Statistics. House of Commons library (Standard not. Retrieved Jan 2, 2013, From: www. Parliament. uk/Topics/PopulationArchive (2012)

[59]

Marwa Salayma, Wail Mardini, Yaser Khamayseh, and Muneer Bani Yasin. 2013a. Optimal beacon and superframe orders in WSNs. In Proceedings of the 5th International Conference on Future Computational Technologies and Applications, Topology 6 (2013), 49--55.

[60]

Marwa Salayma, Wail Mardini, Yaser Khamayseh, and Muneer Bani Yasin. 2013b. IEEE 802. 15.4 Performance in Various WSNs Applications. 2013. In Proceedings of the 7th International Conference on Sensor Technologies and Applications. 139--144.

[61]

Leo Selavo, Anthony Wood, Qing Cao, Tamim Sookoor, Hengchang Liu, Aravind Srinivasan, and Yafeng Wu. 2007. LUSTER: Wireless sensor network for environmental research. In Proceedings of the 5th International Conference on Embedded Networked Sensor Systems. ACM, 103--116.

Digital Library

[62]

TG4. 2003. IEEE 802.15 WPAN™ Task Group 4 (TG4). Retrieved Juanuary 31, 2016 from http://www.ieee802.org/15/pub/TG4.html.

[63]

TG4a. 2007. IEEE 802.15 WPAN Low Rate Alternative PHY Task Group 4a (TG4a). Retrieved Juanuary 31, 2016 from http://www.ieee802.org/15/pub/TG4a.html.

[64]

TG4j. 2012. TG 4j Amendment Draft. Internal Report, unpublished.

[65]

TG6. 2012. IEEE standard for local and metropolitan area networks: Part 15.6: Wireless body area networks, 802.15.6-2012. Retrieved Juanuary 31, 2016 from https://standards.ieee.org/findstds/standard/802.15.6-2012.html.

[66]

Wen Sun, Yu Ge, and Wai-Choong Wong. 2015. A stochastic geometry analysis of inter-user interference in IEEE 802.15. 6 body sensor networks. In Proceedings of the 2015 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 1912--1917.

[67]

Sana Ullah, Henry Higgins, Bart Braem, Benoit Latre, Chris Blondia, Ingrid Moerman, Shahnaz Saleem, Ziaur Rahman, and Kyung Sup Kwak. 2012. A comprehensive survey of wireless body area networks. Journal of Medical Systems 36, 3, (2012), 1065--1094.

Digital Library

[68]

Xuan Wang and Lin Cai. 2011. Interference analysis of co-existing wireless body area networks. In Proceedings of the Global Telecommunications Conference (GLOBECOM 2011). IEEE, 1--5.

[69]

Wikipedia The Free Encyclopedia. 2015. Middleware. Retrieved April 14, 2015 from http://www.ieee802.org/15/pub/TG4.html.

[70]

Guowei Wu, Jiankang Ren, Feng Xia, and Zichuan Xu. 2010. An adaptive fault-tolerant communication scheme for body sensor networks. Sensors 10, 11 (2010), 9590--9608.

[71]

Mengjie Yu, Hala Mokhtar, and Madjid Merabti. 2007. Fault management in wireless sensor networks. IEEE Wireless Communications 14, 6 (2007), 13--19.

Digital Library

[72]

Gang Zhou, Qiang Li, Jingyuan Li, Yafeng Wu, Shan Lin, Jian Lu, Chieh-Yih Wan, Mark D. Yarvis, and John A. Stankovic. 2011. Adaptive and radio-agnostic qos for body sensor networks. ACM Transactions on Embedded Computing Systems (TECS) 10, 4 (2011), 48.

Digital Library

Cited By

Mohammadi RShirmohammadi Z(2025)An efficient dynamic sampling method for energy harvesting body sensor nodeCluster Computing10.1007/s10586-024-04762-328:1Online publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1007/s10586-024-04762-3
Majumdar PRoy SSikdar SGhosh PGhosh N(2024)A Survey on Data-Driven Approaches for Reliability, Robustness, and Energy Efficiency in Wireless Body Area NetworksSensors10.3390/s2420653124:20(6531)Online publication date: 10-Oct-2024
https://doi.org/10.3390/s24206531
Qaisar Ayyub (2024)Wireless Body Area Network (WBAN) based Health Care Monitoring: A Comprehensive ReviewSir Syed University Research Journal of Engineering & Technology10.33317/ssurj.49013:2Online publication date: 1-Jan-2024
https://doi.org/10.33317/ssurj.490
Show More Cited By

Index Terms

Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Fault-tolerant network topologies
    2. Reliability
  2. Embedded and cyber-physical systems
    1. Sensor networks
    2. Sensors and actuators
2. Hardware

Recommendations

A Comprehensive Overview of Wireless Body Area Networks WBAN

In recent years, the wireless body area network WBAN has emerged as a new technology for e-healthcare applications. The WBANs promise to revolutionize health monitoring. However, this technology remains in the first stages and much research is underway. ...
Plug 'n play simplicity for wireless medical body sensors

Wireless medical body sensors are a key technology for unobtrusive health monitoring. The easy setup of such wireless body area networks is crucial to protect the user from the complexity of these systems. But automatically forming a wireless network ...
A survey on wireless body area networks

The increasing use of wireless networks and the constant miniaturization of electrical devices has empowered the development of Wireless Body Area Networks (WBANs). In these networks various sensors are attached on clothing or on the body or even ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Computing Surveys

ACM Computing Surveys Volume 50, Issue 1

January 2018

588 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3058791

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL 32611

Issue’s Table of Contents

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 March 2017

Accepted: 01 December 2016

Revised: 01 October 2016

Received: 01 March 2016

Published in CSUR Volume 50, Issue 1

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Survey
Research
Refereed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

142
Total Citations
View Citations
1,952
Total Downloads

Downloads (Last 12 months)75
Downloads (Last 6 weeks)12

Reflects downloads up to 01 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Mohammadi RShirmohammadi Z(2025)An efficient dynamic sampling method for energy harvesting body sensor nodeCluster Computing10.1007/s10586-024-04762-328:1Online publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1007/s10586-024-04762-3
Majumdar PRoy SSikdar SGhosh PGhosh N(2024)A Survey on Data-Driven Approaches for Reliability, Robustness, and Energy Efficiency in Wireless Body Area NetworksSensors10.3390/s2420653124:20(6531)Online publication date: 10-Oct-2024
https://doi.org/10.3390/s24206531
Qaisar Ayyub (2024)Wireless Body Area Network (WBAN) based Health Care Monitoring: A Comprehensive ReviewSir Syed University Research Journal of Engineering & Technology10.33317/ssurj.49013:2Online publication date: 1-Jan-2024
https://doi.org/10.33317/ssurj.490
Sabahein KWang FWang Z(2024)An Actor-Critic Approach for Resource Allocation in Energy Harvesting-Powered Wireless Body Area Network2024 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICNC59896.2024.10556176(891-897)Online publication date: 19-Feb-2024
https://doi.org/10.1109/ICNC59896.2024.10556176
Hafi HBrik BFrangoudis PKsentini ABagaa M(2024)Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future DirectionsIEEE Access10.1109/ACCESS.2024.335160012(9890-9930)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3351600
Sun JSun X(2024)Design a patient monitoring system in health care using cluster-based hierarchical routing for green communicationMeasurement: Sensors10.1016/j.measen.2023.10099031(100990)Online publication date: Feb-2024
https://doi.org/10.1016/j.measen.2023.100990
Javaid SFahim HZeadally SHe B(2024)From sensing to energy savings: A comprehensive survey on integrating emerging technologies for energy efficiency in WBANsDigital Communications and Networks10.1016/j.dcan.2024.11.012Online publication date: Dec-2024
https://doi.org/10.1016/j.dcan.2024.11.012
Xing L(2024)Internet of Things application and service reliabilityReliability and Resilience in the Internet of Things10.1016/B978-0-443-15610-6.00006-2(211-269)Online publication date: 2024
https://doi.org/10.1016/B978-0-443-15610-6.00006-2
K DS SA AD S(2024)Security analysis and trends in signcryption for WBAN: A research studyPeer-to-Peer Networking and Applications10.1007/s12083-024-01745-417:6(3780-3814)Online publication date: 3-Sep-2024
https://doi.org/10.1007/s12083-024-01745-4
Pradhan PRevanthkumar VBhattacharjee S(2024)Energy aware forwarder selection in wireless body area networks to enhance stability and lifetimeWireless Networks10.1007/s11276-024-03776-4Online publication date: 6-Jun-2024
https://doi.org/10.1007/s11276-024-03776-4
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Issue’s Table of Contents