A Multiobjective, Lion Mating Optimization Inspired Routing Protocol for Wireless Body Area Sensor Network Based Healthcare Applications

The importance of body area sensor networks (BASNs) is increasing day by day because of their increasing use in Internet of things (IoT)-enabled healthcare application services. They help humans in improving their quality of life by continuously monitoring various vital signs through biosensors strategically placed on the human body. However, BASNs face serious challenges, in terms of the short life span of their batteries and unreliable data transmission, because of the highly unstable and unpredictable channel conditions of tiny biosensors located on the human body. These factors may result in poor data gathering quality in BASNs. Therefore, a more reliable data transmission mechanism is greatly needed in order to gather quality data in BASN-based healthcare applications. Therefore, this study proposes a novel, multiobjective, lion mating optimization inspired routing protocol, called self-organizing multiobjective routing protocol (SARP), for BASN-based IoT healthcare applications. The proposed routing scheme significantly reduces local search problems and finds the best dynamic cluster-based routing solutions between the source and destination in BASNs. Thus, it significantly improves the overall packet delivery rate, residual energy, and throughput with reduced latency and packet error rates in BASNs. Extensive simulation results validate the performance of our proposed SARP scheme against the existing routing protocols in terms of the packet delivery ratio, latency, packet error rate, throughput, and energy efficiency for BASN-based health monitoring applications.

[1]  Zhihua Cui,et al.  Monarch butterfly optimization , 2015, Neural Computing and Applications.

[2]  Arun Kumar Sangaiah,et al.  A certificateless aggregate signature scheme for healthcare wireless sensor network , 2017, Sustain. Comput. Informatics Syst..

[3]  S. G. Tamhankar,et al.  A comprehensive dialogue for U-body sensor network (UBSN) with experimental case study , 2019 .

[4]  Navneet Kaur,et al.  Optimized cost effective and energy efficient routing protocol for wireless body area networks , 2017, Ad Hoc Networks.

[5]  Bahae Abidi,et al.  Wireless body area network for health monitoring , 2019, Journal of medical engineering & technology.

[6]  Pardeep Kumar,et al.  Trust and Thermal Aware Routing Protocol (TTRP) for Wireless Body Area Networks , 2017, Wirel. Pers. Commun..

[7]  Muhammad Faheem,et al.  Energy efficient and QoS-aware routing protocol for wireless sensor network-based smart grid applications in the context of industry 4.0 , 2017, Appl. Soft Comput..

[8]  Yuanwen Jiang,et al.  A wireless body area sensor network based on stretchable passive tags , 2019, Nature Electronics.

[9]  Parham Pahlavani,et al.  An efficient modified grey wolf optimizer with Lévy flight for optimization tasks , 2017, Appl. Soft Comput..

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

[11]  Rahat Ali Khan,et al.  The state-of-the-art wireless body area sensor networks: A survey , 2018, Int. J. Distributed Sens. Networks.

[12]  Zhijian Wu,et al.  Enhancing particle swarm optimization using generalized opposition-based learning , 2011, Inf. Sci..

[13]  J. Shaw,et al.  IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. , 2011, Diabetes research and clinical practice.

[14]  Zahid Ullah,et al.  DSCB: Dual sink approach using clustering in body area network , 2019, Peer-to-Peer Netw. Appl..

[15]  Chandreyee Chowdhury,et al.  Two Phased Routing Protocol Incorporating Distributed Genetic Algorithm and Gradient Based Heuristic in Clustered WSN , 2017, Wirel. Pers. Commun..

[16]  Nadeem Javaid,et al.  Co-LAEEBA: Cooperative link aware and energy efficient protocol for wireless body area networks , 2015, Comput. Hum. Behav..

[17]  Ilkhyu Ha,et al.  Even energy consumption and backside routing: An improved routing protocol for effective data transmission in wireless body area networks , 2016, Int. J. Distributed Sens. Networks.

[18]  Javed Iqbal,et al.  Traffic priority based delay-aware and energy efficient path allocation routing protocol for wireless body area network , 2019, J. Ambient Intell. Humaniz. Comput..

[19]  Muhammad Faheem,et al.  EDHRP: Energy efficient event driven hybrid routing protocol for densely deployed wireless sensor networks , 2015, J. Netw. Comput. Appl..

[20]  Zahoor Ali Khan,et al.  A new patient monitoring framework and Energy-aware Peering Routing Protocol (EPR) for Body Area Network communication , 2014, J. Ambient Intell. Humaniz. Comput..

[21]  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..

[22]  Mohammad Shah Alam,et al.  A priority based energy harvesting scheme for charging embedded sensor nodes in wireless body area networks , 2019, PloS one.

[23]  Zahoor Khan,et al.  QPRD: QoS-aware Peering Routing Protocol for Delay Sensitive Data in Hospital Body Area Network Communication , 2012, 2012 Seventh International Conference on Broadband, Wireless Computing, Communication and Applications.

[24]  Abdelkamel Tari,et al.  QoS-based routing in Wireless Body Area Networks: a survey and taxonomy , 2018, Computing.

[25]  Suparna Biswas,et al.  Posture detection using WBAN and its application in remote healthcare monitoring , 2016, 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

[26]  C. Packer,et al.  Why Lions Form Groups: Food is Not Enough , 1990, The American Naturalist.

[27]  SinghSukhwinder,et al.  Optimized cost effective and energy efficient routing protocol for wireless body area networks , 2017 .

[28]  Vehbi C. Gungor,et al.  Smart grid communication and information technologies in the perspective of Industry 4.0: Opportunities and challenges , 2018, Comput. Sci. Rev..

[29]  Marwa Salayma,et al.  Wireless Body Area Network (WBAN) , 2017, ACM Comput. Surv..

[30]  Rahat Ali Khan,et al.  An Energy Efficient Routing Protocol for Wireless Body Area Sensor Networks , 2018, Wireless Personal Communications.

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

[32]  Zahoor Ali Khan,et al.  Energy-aware Peering Routing Protocol for indoor hospital Body Area Network Communication , 2012, ANT/MobiWIS.

[33]  Yuhuai Peng,et al.  An Artificial Bee Colony-Based Green Routing Mechanism in WBANs for Sensor-Based E-Healthcare Systems , 2018, Sensors.

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

[35]  Muhammad Faheem,et al.  Energy efficient multi-objective evolutionary routing scheme for reliable data gathering in Internet of underwater acoustic sensor networks , 2019, Ad Hoc Networks.

[36]  Chandreyee Chowdhury,et al.  Designing Transmission Strategies for Enhancing Communications in Medical IoT Using Markov Decision Process , 2018, Sensors.

[37]  F. Horlin,et al.  Dynamic Channel Modeling for Multi-Sensor Body Area Networks , 2013, IEEE Transactions on Antennas and Propagation.

[38]  Qingfu Zhang,et al.  Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods , 2016, IEEE Transactions on Evolutionary Computation.

[39]  Do-Hyeun Kim,et al.  Adaptive Thermal-Aware Routing Protocol for Wireless Body Area Network , 2019, Electronics.

[40]  Harri Viittala,et al.  Different experimental WBAN channel models and IEEE802.15.6 models: Comparison and effects , 2009, 2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies.

[41]  Shengxiang Yang,et al.  Novel Prediction Strategies for Dynamic Multiobjective Optimization , 2020, IEEE Transactions on Evolutionary Computation.

[42]  Fariborz Jolai,et al.  Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm , 2016, J. Comput. Des. Eng..

[43]  C. Packer,et al.  Group hunting behaviour of lions: a search for cooperation , 1991, Animal Behaviour.