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Traffic priority based delay-aware and energy efficient path allocation routing protocol for wireless body area network

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Abstract

Wireless body area network (WBAN) is the emerging field in domain of healthcare to monitor vital signs of patients with the support of bio-medical sensors. The design of delay-aware and energy efficient routing protocol based on the traffic prioritization is the key research theme in WBAN. In addition, WBAN has challenging issues of packet loss, temperature rise, delay with retransmission of the lost packets due to which it does not extend the network life time and is not acceptable for life critical data. In this context, this paper proposes traffic priority based delay-aware and energy efficient path allocation routing protocol for wireless body area network (Tripe-EEC), which selects the optimal paths with high residual energy of nodes with minimum temperature rise. Specially, the design of Tripe-EEC routing protocol is mostly divided into four Folds. Firstly, the patient’s data is classified into four classes that included normal data, data on-demand, Emergency data of low threshold readings and high threshold readings. These classifications assist in allocation of paths on the priority basis by removing conflicts along with support of an improved equation. Secondly, energy efficient and delay-aware path allocation algorithm is developed for normal data focusing on the selection of optimal and shortest paths with minimum temperature rise (hotspot). Thirdly, data on-demand algorithm is developed for on-demand traffic to transmit immediately to the medical doctor which is usually asked if any criticality or emergency situation happens with patient. Forth, criticalities (abnormal readings of vital signs i.e. low and high threshold values) detection algorithms are developed for measuring criticalities of vital signs and allocation of adaptive and energy efficient paths on the priority basis by removing conflict between them. Extensive simulations are performed in realistic medical environments for comparing performance of the proposed Tripe-EEC protocol with the state-of-the-art protocols.

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References

  • Ababneh N, Timmons N, Morrison J, Tracey D (2012) Energy-balanced rate assignment and routing protocol for body area networks. In: Proceedings—26th IEEE international conference on advanced information networking and applications workshops, WAINA 2012. IEEE, (pp. 466–467). https://doi.org/10.1109/WAINA.2012.34

  • Adhikary S, Choudhury S, Chattopadhyay S (2016) A new routing protocol for WBAN to enhance energy consumption and network lifetime. In: proceedings of the 17th international conference on distributed computing and networking—ICDCN’16. ACM Press, New York, pp 1–6. https://doi.org/10.1145/2833312.2849560

  • Ahmad A, Javaid N, Qasim U, Ishfaq M, Khan ZA, Alghamdi TA (2014) RE-ATTEMPT: a new energy-efficient routing protocol for wireless body area sensor networks. Int J Distributed Sensor Netw 2014:1–9. https://doi.org/10.1155/2014/464010

    Google Scholar 

  • Ahmed S, Javaid N, Yousaf S, Ahmad A, Sandhu MM, Imran M, Alrajeh N (2015) Co-LAEEBA: cooperative link aware and energy efficient protocol for wireless body area networks. Comput Hum Behav 51:1205–1215. https://doi.org/10.1016/j.chb.2014.12.051

    Article  Google Scholar 

  • Argade N, Tsouri GR (2013) Dynamic routing trees with energy harvesting constraints for wireless body area networks. In: proceedings of the 8th international conference on body area networks. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering),vol. 1. ACM, pp 2–7. https://doi.org/10.4108/icst.bodynets.2013.253911

  • Bates DW, Saria S, Ohno-machado L, Shah A (2014) Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Aff 33(7):1–10. https://doi.org/10.1377/hlthaff.2014.0041

    Article  Google Scholar 

  • Djenouri D, Balasingham I (2009) New QoS and geographical routing in wireless biomedical sensor networks. In: 2009 sixth international conference on broadband communications, networks, and systems. IEEE, Madrid, pp. 1–8. https://doi.org/10.4108/ICST.BROADNETS2009.7188

  • Feng-Cheng Chang H-CH (2016) A survey on intelligent sensor network and its applications. J Netw Intell 1(1):1–15

    Google Scholar 

  • Johnson DB, Maltz DA (1996) Dynamic source routing in ad hoc wireless networks. In: Imielinski T, Korth HF (eds) Mobile computing. The Kluwer international series in engineering and computer science, vol 353. Springer, Boston, MA

    Google Scholar 

  • Karmakar K, Biswas S, Neogy S (2017) MHRP: a novel mobility handling routing protocol in wireless body area network. In: 2017 international conference on wireless communications, signal processing and networking (WiSPNET), vol. 2018, IEEE, pp. 1939–1945. https://doi.org/10.1109/WiSPNET.2017.8300099

  • Khan ZA, Sivakumar SC, Phillips WJ, Robertson B (2015) QPRR: QoS-aware peering routing protocol for reliability sensitive data in body area network communication. Comput J 58(8):1701–1716. https://doi.org/10.1093/comjnl/bxu114

    Article  Google Scholar 

  • Khanna BA, Chaudhary V, Gupta SH (2018) Design and analysis of energy efficient wireless body area network (WBAN) for health monitoring. Trans Comput Sci XXXIII:25–39. https://doi.org/10.1007/978-3-662-58039-4

    Google Scholar 

  • Monowar MM, Mehedi Hassan M, Bajaber F, Hamid MA, Alamri A (2014) Thermal-aware multiconstrained intrabody QoS routing for wireless body area networks. Int J Distributed Sensor Netw 1:1. https://doi.org/10.1155/2014/676312

    Google Scholar 

  • Mostafazadeh A, Ali D, Nazari A, Sara S (2018) Towards interacting with smarter systems. J Ambient Intell Hum Comput 2018(9):187–209

    Article  Google Scholar 

  • Movassaghi S, Member S, Abolhasan M, Member S (2014) Wireless body area networks: a survey. IEEE Commun Surv Tutorials 16(3):1658–1686

    Article  Google Scholar 

  • Mulero R, Urosevic V, Almeida A, Tatsiopoulos C (2018) Towards ambient assisted cities using linked data and data analysis. J Ambient Intell Human Comput 2018(9):1573–1591

    Article  Google Scholar 

  • Nadeem Q, Javaid N, Mohammad SN, Khan MY, Sarfraz S, Gull M (2013) SIMPLE: stable increased-throughput multi-hop protocol for link efficiency in wireless body area networks. In: proceedings—2013 8th international conference on broadband, wireless computing, communication and applications, BWCCA 2013. IEEE. pp. 221–226. https://doi.org/10.1109/BWCCA.2013.42

  • Rahman MO, Hong CS, Lee S, Bang Y-C (2011) ATLAS: a traffic load aware sensor MAC design for collaborative body area sensor networks. Sens (Basel Switz) 11(12):11560–11580. https://doi.org/10.3390/s111211560

    Article  Google Scholar 

  • Razzaque MA, Hong CS, Lee S (2011) Data-centric multiobjective QoS-aware routing protocol for body sensor networks. Sens (Basel Switz) 11(1):917–937. https://doi.org/10.3390/s110100917

    Article  Google Scholar 

  • Roy M, Chowdhury C, Aslam N (2017) Designing an energy efficient WBAN routing protocol. In: 2017 9th international conference on communication systems and networks, Comsnets 2017. IEEE, pp. 298–305. https://doi.org/10.1109/COMSNETS.2017.7945390

  • Sahndhu MM, Javaid N, Imran M, Guizani M, Khan ZA, Qasim U (2015) BEC: a novel routing protocol for balanced energy consumption in wireless body area networks. In: IWCMC 2015—11th international wireless communications and mobile computing conference. IEEE, pp. 653–658. https://doi.org/10.1109/IWCMC.2015.7289160

  • Sandhu MM, Javaid N, Jamil M, Khan ZA, Imran M, Ilahi M, Khan MA (2014) Modeling mobility and psychological stress based human postural changes in wireless body area networks. Comput Hum Behav 51:1042–1053. https://doi.org/10.1016/j.chb.2014.09.032

    Article  Google Scholar 

  • Sangwan A, Bhattacharya PP (2018) Delay tolerant energy efficient protocol for Inter-BAN communication in mobile body area networks. Int J Adv Sci Eng Inf Technol 8(3):938–948

    Article  Google Scholar 

  • Sarcevic P, Kincses Z, Pletl S (2019) Online human movement classification using wrist-worn wireless sensors. J Ambient Intell Human Comput 2019(10):89–106. https://doi.org/10.1007/s12652-017-0606-1

    Article  Google Scholar 

  • Smail O, Kerrar A, Zetili Y, Cousin B (2016) ESR: energy aware and stable routing protocol for WBAN networks. In: 2016 international wireless communications and mobile computing conference, IWCMC 2016. IEEE, pp. 452–457. https://doi.org/10.1109/IWCMC.2016.7577100

  • Tambe SB, Gajre SS (2018) Cluster-based real-time analysis of mobile healthcare application for prediction of physiological data. J Ambient Intell Human Comput 2018(9):429–445. https://doi.org/10.1007/s12652-017-0562-9

    Article  Google Scholar 

  • Tang Q, Tummala N, Gupta SKS (2005) TARA : thermal-aware routing algorithm for implanted sensor networks. In: International Conference on Distributed Computing in Sensor Systems. Springer, Berlin, Heidelberg, pp. 206–217

  • Ullah S, Chen M, Kwak KS (2012) Throughput and delay analysis of IEEE 802.15.6-based CSMA/CA protocol. J Med Syst 36:3875–3891. https://doi.org/10.1007/s10916-012-9860-0

    Article  Google Scholar 

  • Ullah F, Abdullah AH, Kaiwartya O, Cao Y (2017) TraPy-MAC: traffic priority aware medium access control protocol for wireless body area network. J Med Syst 41(93):1–12. https://doi.org/10.1007/s10916-017-0739-y

    Google Scholar 

  • Vetale S, Vidhate AV (2017) Hybrid data-centric routing protocol of wireless body area network. In: 2017 international conference on advances in computing, communication and control. IEEE, Mumbai, pp. 1–7. https://doi.org/10.1109/ICAC3.2017.8318793

  • Xia F, Hao R, Li J, Xiong N, Yang LT, Zhang Y (2013) Adaptive GTS allocation in IEEE 802154 for real-time wireless sensor networks. J Syst Architecture 59(10):1231–1242. https://doi.org/10.1016/j.sysarc.2013.10.007

    Article  Google Scholar 

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Correspondence to Fasee Ullah.

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Ullah, F., Ullah, Z., Ahmad, S. et al. Traffic priority based delay-aware and energy efficient path allocation routing protocol for wireless body area network. J Ambient Intell Human Comput 10, 3775–3794 (2019). https://doi.org/10.1007/s12652-019-01343-w

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