Abstract:
The scope of WBAN is wide enough to monitor the health information, work performance, and perform activity classification of the individuals. Each of the operational and behavioral requirements has scope for different application areas. The mobility based iM-SIMPLE protocol already exists to identify the effective forwarder based on distance, energy and provides energy and packet size evaluation. In this paper, an improvement over the existing iM-SIMPLE protocol is provided by including the direction, organ criticality, and session preservation concepts. A more effective routing method is defined to observe each node and network level aspect to fulfill the communication requirements of each of the application areas considered in the present work. The algorithmic formulation is also provided to offer controlled communication in a single WBAN. The paper also provided the analytical study of each of the operational areas respective to the body sensor placement and effectiveness. The comparative results of the proposed improved iM-SIMPLE protocol are computed against the existing iM-SIMPLE protocol for six different application areas. The observations are taken against residual energy parameter. The node level evaluation verified that the proposed routing protocol has improved the node strength and network life for different application areas.
Keywords:
WBAN; Patient Monitoring; Athletes; Routing; Energy Efficient
References:
[1] Chakraborty S, Jamthe A, Ghosh SK and Agrawal DP, "Determining Athlete's Injury with Wireless Body Area Sensor Network-Based Overhead Squat Testing", Proceedings of IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, Hangzhou, (2013): 439-440.
[2] Rakovic P and Lutovac B, "A cloud computing architecture with wireless body area network for professional Athletes health monitoring in sports organizations — Case study of Montenegro", Proceedings of IEEE 4th Mediterranean Conference on Embedded Computing (MECO), Budva, (2015): 387-390.
[3] Hosein N and Ghiasi S, "Wearable Sensor Selection, Motion Representation and their Effect on Exercise Classification", Proceedings of IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), Washington, DC, (2016): 370-379.
[4] Matzeu G, Fay C, Vaillant A, Coyle S and Diamond D, “A Wearable Device for Monitoring Sweat Rates via Image Analysis”, IEEE Transactions on Biomedical Engineering, 63(8), (2016): 1672-1680.
[5] Boano CA, Lasagni M and Römer K, "Non-invasive measurement of core body temperature in Marathon runners", Proceedings of IEEE International Conference on Body Sensor Networks, Cambridge, MA, USA, (2013): 1-6.
[6] Saha J, Biswas S, Bhattacharyya T and Chowdhury C, "A framework for monitoring of depression patient using WBAN," Proceedings of IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, (2016): 410-415.
[7] Ivanov S, Foley C, Balasubramaniam S and Botvich D, “Virtual Groups for Patient WBAN Monitoring in Medical Environments”, IEEE Transactions on Biomedical Engineering, 59(11), (2012): 3238-3246.
[8] Rasyid MUHA, Saputra FA and Christian A, "Implementation of blood glucose levels monitoring system based on Wireless Body Area Network", Proceedings of IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Nantou, (2016): 1-2.
[9] Arboleda J, Aedo J and Rivera F, "Wireless system for supporting home health care of chronic disease patients", Proceedings of IEEE Colombian Conference on Communications and Computing (COLCOM), Cartagena, (2016): 1-5.
[10] Sarra E and Ezzedine T, "Performance improvement of the wireless body area network (WBAN)", Proceedings of IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), Munich, (2016): 1-6.
[11] Birgani YG, Javan NT and Tourani M, "Mobility enhancement of patients body monitoring based on WBAN with multipath routing", Proceedings of IEEE 2nd International Conference on Information and Communication Technology (ICoICT), Bandung, (2014): 127-132.
[12] Sethi D and Bhattacharya PP, "A Study on Energy Efficient and Reliable Data Transfer (EERDT) Protocol for WBAN", Proceedings of IEEE Second International Conference on Computational Intelligence & Communication Technology (CICT), Ghaziabad, (2016): 254-258.
[13] Rajagopalan R, "Energy efficient routing algorithm for patient monitoring in body sensor networks", Proceedings of IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN), San Francisco, CA, (2016): 141-146.
[14] Tauqir A, Javaid N, Akram S, Rao A and Mohammad SN, "Distance Aware Relaying Energy-Efficient: DARE to Monitor Patients in Multi-hop Body Area Sensor Networks", Proceedings of IEEE Eighth International Conference on Broadband and Wireless Computing, Communication and Applications, Compiegne, (2013): 206-213.
Citations:
APA:
Sangwan, A. (2019). An Organ Criticality and Session Preserved IM-Simple Protocol to Optimize WBAN for Different Application Areas. International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, 129, 11-28. doi: 10.33832/ijast.2019.129.02.
MLA:
Sangwan, Aarti “An Organ Criticality and Session Preserved IM-Simple Protocol to Optimize WBAN for Different Application Areas.” International Journal of Advanced Science and Technology, ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 129, 2019, pp. 11-28. IJAST, http://article.nadiapub.com/IJAST/Vol129/2.html.
IEEE:
[1] A. Sangwan, “An Organ Criticality and Session Preserved IM-Simple Protocol to Optimize WBAN for Different Application Areas.” International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238(Print); 2207-6360 (Online), NADIA, vol. 129, pp. 11-28, Aug. 2019.
