Authors:
Ilyas Khan,Majid Ashraf,Asif Nawaz,Rehan Ali Khan,M.Habib Ullah,Wisal Khan,Sheeraz Ahmed,DOI NO:
https://doi.org/10.26782/jmcms.2020.06.00035Keywords:
WBAN,LoS communication,Routing protocol, Quality of Service,Abstract
The architecture of WBANs consists of small nodes which are fitted on the body of human or it may be implanted inside body to investigate and analyze and sense data like monitoring body temperature, blood pressure, heart rate and glucose level checking etc. For efficient design and development of WBANs, which ensure reliability and efficiency the knowledge of system and its components are necessary. WBANs must be capable to support lower energy, high data rate, reliability, Quality of Service (QoS) and minimum interference for the consideration of vast applications of WBANs. In WBANs there is a need of proactive management because it is related to more reliable communication. In this research work we are trying to provide a comprehensive review of state of the art routing protocols for WBANs. After the thorough analysis and investigation of different routing protocols, we conclude that there are many good schemes to overcome and resolve the issues of routing in WBANs. But still some of the issues need to be resolved. A new routing protocol for WBANs is developed called DSBAN. In this scheme we considered the performance metrics in terms of the already available schemes SIMPLE, and LAEEBA and see the effects in terms of energy efficiency, Networks lifetime and path-loss. The results show that the scheme DSBAN is significantly showing improved performance than the other two schemes under consideration. The reason is that the scheme considers those positive features of SIMPLE and LAEEBA which help us in the design of the new scheme.Refference:
I Ahmed, S., et al. “LAEEBA: Link aware and energy efficient scheme for body area networks.” 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.IEEE, 2014.
II Akram, S., et al. “The-fame: Threshold based energy-efficient fatigue measurement for wireless body area sensor networks using multiple sinks.”Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013 Eighth International Conference on. IEEE, 2013.
III Ansari, Hannan, Sachin Kumar Patel, and Sachida Nanda Barik. “Survey on Wireless Sensor Networks.” (2014).
IV Ari, Ado Adamou Abba, et al. “Concepts and evolution of research in the field of wireless sensor networks.” arXiv preprint arXiv:1502.03561 (2015)
V Bahanfar, Saeid, et al. “Reliable communication in wireless body area sensor network for health monitoring.” arXiv preprint arXiv: 1112.0393 (2011).
VI Braem, Bart, et al. “The need for cooperation and relaying in short-range high path loss sensor networks.” Sensor Technologies and Applications, 2007.SensorComm 2007.International Conference on.IEEE, 2007.
VII Braem, Bart, et al. “Improving reliability in multi-hop body sensor networks.”Sensor Technologies and Applications, 2008.SENSORCOMM’08.Second International Conference on.IEEE, 2008.
VIII Crosby, Garth V., et al. “Wireless body area networks for healthcare: a survey.” International Journal of Ad Hoc, Sensor & Ubiquitous Computing 3.3 (2012): 1.
IX Ehyaie, Aida, MassoudHashemi, and PejmanKhadivi. “Using relay network to increase life time in wireless body area sensor networks.”World of Wireless, Mobile and Multimedia Networks & Workshops, 2009.WoWMoM 2009.IEEE International Symposium on a. IEEE, 2009.
X Elias, Jocelyne, and Ahmed Mehaoua. “Energy-aware topology design for wireless body area networks.”2012 IEEE international conference on communications (ICC).IEEE, 2012.
XI Heinzelman, Wendi Rabiner, AnanthaChandrakasan, and HariBalakrishnan. “Energy-efficient communication protocol for wireless microsensor networks.”System sciences, 2000.Proceedings of the 33rd annual Hawaii international conference on.IEEE, 2000.Yick, Jennifer, Biswanath Mukherjee, and DipakGhosal. “Wireless sensor network survey.” Computer networks 52, no. 12 (2008): 2292-2330.
XII Javaid, Nadeem, et al. “Measuring fatigue of soldiers in wireless body area sensor networks.” Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013 Eighth International Conference on. IEEE, 2013.
XIII Khan, Z. A., et al. “Effect of packet inter-arrival time on the energy consumption of beacon enabled MAC protocol for body area networks.”Procedia Computer Science 32 (2014): 579-586.
XIV Monsef, Ehsan, et al. “Managing Quality of Service in Wireless Body Area Networks using CoAP.” 2016 IEEE International Conference on Electro Information Technology (EIT).IEEE, 2016.
XV Nadeem, Adnan, et al. “Application specific study, analysis and classification of body area wireless sensor network applications.” Computer Networks 83 (2015): 363-380.
XVI Nadeem, Q., et al. “Simple: Stable increased-throughput multi-hop protocol for link efficiency in wireless body area networks.” Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013 Eighth International Conference on. IEEE, 2013
XVII Ruprecht, David J. “Body Area Networks and Body Sensor Networks.”Wireless Network 17 (2011): 1-18.
XVIII Tauqir, Anum, et al. “Distance aware relaying energy-efficient: Dare to monitor patients in multi-hop body area sensor networks.” Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013 Eighth International Conference on. IEEE, 2013.
XIX Tavli, Bulent, et al. “A survey of visual sensor network platforms.”Multimedia Tools and Applications 60.3 (2012): 689-726.
XX Wang, Pengyu, et al. “Survey on application of wireless sensor network in smart grid.” Procedia Computer Science 52 (2015): 1212-1217.Ansari, Hannan, Sachin Kumar Patel, and Sachida Nanda Barik. “Survey on Wireless Sensor Networks.” (2014).
XXI Yick, Jennifer, Biswanath Mukherjee, and DipakGhosal. “Wireless sensor network survey.” Computer networks 52.12 (2008): 2292-2330.
XXII Zhang, Mi, and Alexander A. Sawchuk. “Human daily activity recognition with sparse representation using wearable sensors.” IEEE journal of Biomedical and Health Informatics 17.3 (2013): 553-560.
XXIII Zhou, Gang, et al. “Bodyqos: Adaptive and radio-agnostic qos for body sensor networks.” INFOCOM 2008.The 27th Conference on Computer Communications.IEEE.IEEE, 2008.
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