Data-Centric Load and QoS-Aware Body-to-Body Network Routing Protocol for Mass Casualty Incident

Triage is the most important requirement of Mass Casualty Incident (MCI) where monitoring the vital signs of casualty is the crucial aspect to assess the severity of their current medical conditions. One of the most significant challenges in the triage center is to provide effective remote monitoring of vital signs of mass casualties. To overcome this challenge, there is a necessity to design a dynamic routing protocol that supports data-centric quality parameters such as delay and reliability as well network-specific quality parameters such as throughput and network lifetime over an ad hoc network. The proposed protocol handles data-centric quality parameters by jointly considering the link and node cost of the neighboring nodes. Further, the protocol handles network-specific quality parameters by including load distribution along with buffer management based on the medical condition of the casualties and beaconless routing mechanism. Furthermore, the proposed approach focuses on the transmission of vital signs of critical casualties while also avoiding network congestion and extending network lifespan. The experimentation results show that the proposed protocol is efficient in handling end-to-end delay, the packet transmission ratio of the critical casualties vital signs as compared to the existing state-of-the-art approaches.

[1]  ChingYao Huang,et al.  RACOON: A Multiuser QoS Design for Mobile Wireless Body Area Networks , 2011, Journal of Medical Systems.

[2]  Nedal Ababneh,et al.  A cross-layer QoS-aware optimization protocol for guaranteed data streaming over wireless body area networks , 2015, Telecommun. Syst..

[3]  Zahoor Ali Khan,et al.  ZEQoS: A New Energy and QoS-Aware Routing Protocol for Communication of Sensor Devices in Healthcare System , 2014, Int. J. Distributed Sens. Networks.

[4]  Abdullahi Abdu Ibrahim,et al.  EN-NEAT: Enhanced Energy Efficient Threshold-Based Emergency Data Transmission Routing Protocol for Wireless Body Area Network , 2019 .

[5]  Kusum Grewal Dangi,et al.  Emergency Vital Data Packet Transmission in Hospital Centered Wireless Body Area Network , 2020 .

[6]  Elyes Ben Hamida,et al.  Wearable Body-to-Body networks for critical and rescue operations — The CROW2 project , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[7]  Silvia Moreno,et al.  Remote monitoring system of vital signs for triage and detection of anomalous patient states in the emergency room , 2016, 2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA).

[8]  Nilanjan Dey,et al.  Internet of Things Based Wireless Body Area Network in Healthcare , 2018 .

[9]  Muhammad Qaiser Saleem,et al.  A priority-based congestion-avoidance routing protocol using IoT-based heterogeneous medical sensors for energy efficiency in healthcare wireless body area networks , 2019, Int. J. Distributed Sens. Networks.

[10]  Choong Seon Hong,et al.  Data-Centric Multiobjective QoS-Aware Routing Protocol for Body Sensor Networks , 2011, Sensors.

[11]  R. Latha,et al.  Balancing emergency message dissemination and network lifetime in wireless body area network using ant colony optimization and Bayesian game formulation , 2017 .

[12]  Sangman Moh,et al.  A Priority-Based Adaptive MAC Protocol for Wireless Body Area Networks , 2016, Sensors.

[13]  Ingrid Moerman,et al.  A survey on wireless body area networks , 2011, Wirel. Networks.

[14]  Donald A. Adjeroh,et al.  A Prioritization Based Congestion Control Protocol for Healthcare Monitoring Application in Wireless Sensor Networks , 2013, Wirel. Pers. Commun..

[15]  Wei Xiong,et al.  Implementing Telemedicine in Medical Emergency Response: Concept of Operation for a Regional Telemedicine Hub , 2010, Journal of Medical Systems.

[16]  Aristides Lopes da Silva,et al.  Health and emergency-care platform for the elderly and disabled people in the Smart City , 2015, J. Syst. Softw..

[17]  Ashalatha Nayak,et al.  QoS aware routing in body-to-body network for emergency medical care: issues and challenges , 2019, Int. J. Wirel. Mob. Comput..

[18]  Fatima Tul Zuhra,et al.  MIQoS-RP: Multi-Constraint Intra-BAN, QoS-Aware Routing Protocol for Wireless Body Sensor Networks , 2020, IEEE Access.

[19]  Ashok K. Turuk,et al.  A framework for post-disaster communication using wireless ad hoc networks , 2017, Integr..

[20]  B. Amutha,et al.  Optimal packet routing for wireless body area network using software defined network to handle medical emergency , 2020 .

[21]  Wen-Tsai Sung,et al.  Health parameter monitoring via a novel wireless system , 2014, Appl. Soft Comput..

[22]  Elyes Ben Hamida,et al.  ORACE-Net: A novel multi-hop body-to-body routing protocol for public safety networks , 2017, Peer Peer Netw. Appl..

[23]  Muhammad Faheem,et al.  A Multiobjective, Lion Mating Optimization Inspired Routing Protocol for Wireless Body Area Sensor Network Based Healthcare Applications , 2019, Sensors.

[24]  Joao Ricardo Borges dos Santos,et al.  Wireless Sensor Tag and Network for Improved Clinical Triage , 2015, 2015 Euromicro Conference on Digital System Design.

[25]  Bahae Abidi,et al.  An energy efficiency routing protocol for wireless body area networks , 2018, Journal of medical engineering & technology.

[26]  Xuedong Liang,et al.  A reinforcement learning based routing protocol with QoS support for biomedical sensor networks , 2008, 2008 First International Symposium on Applied Sciences on Biomedical and Communication Technologies.

[27]  Lotfi Kamoun,et al.  A Priority based Cross Layer Routing Protocol for healthcare applications , 2016, Ad Hoc Networks.

[28]  Xuedong Liang,et al.  A QoS-aware Routing Service Framework for Biomedical Sensor Networks , 2007, 2007 4th International Symposium on Wireless Communication Systems.

[29]  Djamel Djenouri,et al.  New QoS and geographical routing in wireless biomedical sensor networks , 2009, 2009 Sixth International Conference on Broadband Communications, Networks, and Systems.

[30]  Wei Zhou,et al.  DistressNet: a wireless ad hoc and sensor network architecture for situation management in disaster response , 2010, IEEE Communications Magazine.

[31]  Fuad Bajaber,et al.  On Designing Thermal-Aware Localized QoS Routing Protocol for in-vivo Sensor Nodes in Wireless Body Area Networks , 2015, Sensors.

[32]  Subramaniam Shamala,et al.  Multi-Sources Data Fusion Framework for Remote Triage Prioritization in Telehealth , 2014, Journal of Medical Systems.

[33]  Kostas Papadopoulos,et al.  An integrated remote monitoring platform towards Telehealth and Telecare services interoperability , 2015, Inf. Sci..

[34]  Jon Crowcroft,et al.  Evaluating opportunistic networks in disaster scenarios , 2013, J. Netw. Comput. Appl..

[35]  Barbara M. Walsh,et al.  Do You See What I See? Insights from Using Google Glass for Disaster Telemedicine Triage , 2015, Prehospital and Disaster Medicine.

[36]  Qammer H. Abbasi,et al.  Reliable emergency data transmission using transmission mode selection in wireless body area network , 2018 .

[37]  Elyes Ben Hamida,et al.  Surveying Wearable Human Assistive Technology for Life and Safety Critical Applications: Standards, Challenges and Opportunities , 2014, Sensors.

[38]  M. Anand Kumar,et al.  On designing lightweight qos routing protocol for delay-sensitive wireless body area networks , 2017, 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[39]  Anis Koubaa,et al.  F-LQE: A Fuzzy Link Quality Estimator for Wireless Sensor Networks , 2010, EWSN.

[40]  Abdul Hanan Abdullah,et al.  Green Communication for Wireless Body Area Networks: Energy Aware Link Efficient Routing Approach , 2018, Sensors.

[41]  Mohammad Mehedi Hassan,et al.  Traffic Priority and Load Adaptive MAC Protocol for QoS Provisioning in Body Sensor Networks , 2013, Int. J. Distributed Sens. Networks.

[42]  Ahmed Mehaoua,et al.  Moving Towards Body-to-Body Sensor Networks for Ubiquitous Applications: A Survey , 2019, J. Sens. Actuator Networks.

[43]  A. Al-Dubai,et al.  Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence , 2017, ACM Comput. Surv..

[44]  Abdullah Kadri,et al.  Enhanced IoT-Based End-To-End Emergency and Disaster Relief System , 2017, J. Sens. Actuator Networks.

[45]  Baozhi Chen,et al.  Patient vital signs monitoring using Wireless Body Area Networks , 2010, Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference (NEBEC).

[46]  Chaozhu Zhang,et al.  Link Reliability and Performance Optimization in Wireless Body Area Networks , 2019, IEEE Access.

[47]  Robert C. Amland,et al.  Quick Sequential [Sepsis-Related] Organ Failure Assessment (qSOFA) and St. John Sepsis Surveillance Agent to Detect Patients at Risk of Sepsis: An Observational Cohort Study , 2017, AMIA.

[48]  Sonal Vetale,et al.  Hybrid data-centric routing protocol of wireless body area network , 2017, 2017 International Conference on Advances in Computing, Communication and Control (ICAC3).

[49]  Jae-Young Pyun,et al.  A New MAC Protocol for emergency handling in wireless body area networks , 2016, 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN).