Energy-Efficient and Distributed Network Management Cost Minimization in Opportunistic Wireless Body Area Networks

Mobility induced by limb/body movements in Wireless Body Area Networks (WBANs) significantly affects the link-quality of intra-BAN and inter-BAN communication units, which, in turn, affects the Quality-of-Service (QoS) of each WBAN, in terms of reliability, efficient data transmission and network throughput guarantees. Further, the variation in link-quality between WBANs and Access Points (APs) makes the WBAN-equipped patients more resource-constrained in nature, which also increases the data dissemination delay. Therefore, to minimize the data dissemination delay of the network, WBANs send patients’ physiological data to local servers using the proposed opportunistic transient connectivity establishment algorithm. Additionally, limb/body movements induce dynamic changes to the on-body network topology, which, in turn, increases the network management cost and decreases the life-time of the sensor nodes periodically. Also, mutual and cross technology interference among coexisting WBANs and other radio technologies increases the energy consumption rate of the sensor nodes and also the energy management cost. To address the problem of increased network management cost and data dissemination delay, we propose a network management cost minimization framework to optimize the network throughput and QoS of each WBAN. The proposed framework attempts to minimize the dynamic connectivity, interference management, and data dissemination costs for opportunistic WBAN. We have, theoretically, analyzed the performance of the proposed framework to provide reliable data transmission in opportunistic WBANs. Simulation results show significant improvement in the network performance compared to the existing solutions.

[1]  Jocelyne Elias,et al.  Optimal design of energy-efficient and cost-effective wireless body area networks , 2014, Ad Hoc Networks.

[2]  Jan-Hinrich Hauer,et al.  Opportunistic Packet Scheduling in Body Area Networks , 2011, EWSN.

[3]  Mohammad S. Obaidat,et al.  Wireless Body Area Networks with varying traffic in epidemic medical emergency situation , 2015, 2015 IEEE International Conference on Communications (ICC).

[4]  Sudip Misra,et al.  Cost-Effective Mapping between Wireless Body Area Networks and Cloud Service Providers Based on Multi-Stage Bargaining , 2017, IEEE Transactions on Mobile Computing.

[5]  Nor Hisham Hamid,et al.  Performance investigation of using direct transmission and opportunistic routing in wireless body area networks , 2013, 2013 IEEE Symposium on Computers & Informatics (ISCI).

[6]  M.A. Khan,et al.  Modeling mobility and psychological stress based human postural changes in wireless body area networks , 2015, Comput. Hum. Behav..

[7]  Jiandong Li,et al.  Energy-aware adaptive topology adjustment in wireless body area networks , 2015, Telecommun. Syst..

[8]  Xinping Guan,et al.  Joint sleep scheduling and opportunistic transmission in Wireless Body Area Networks , 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).

[9]  Nadeem Javaid,et al.  iM-SIMPLE: iMproved stable increased-throughput multi-hop link efficient routing protocol for Wireless Body Area Networks , 2015, Comput. Hum. Behav..

[10]  SuKyoung Lee,et al.  Coexistence of ZigBee-Based WBAN and WiFi for Health Telemonitoring Systems , 2016, IEEE Journal of Biomedical and Health Informatics.

[11]  Jun Cai,et al.  An Incentive-Compatible Mechanism for Transmission Scheduling of Delay-Sensitive Medical Packets in E-Health Networks , 2016, IEEE Transactions on Mobile Computing.

[12]  Fabio D'Andreagiovanni,et al.  Towards the fast and robust optimal design of wireless body area networks , 2015, Appl. Soft Comput..

[13]  Jun Zhang,et al.  Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms , 2014, IEEE Transactions on Evolutionary Computation.

[14]  Z. Abbas,et al.  M-ATTEMPT: A New Energy-Efficient Routing Protocol for Wireless Body Area Sensor Networks , 2012, ANT/SEIT.

[15]  Biplab Sikdar,et al.  Energy efficient transmission strategies for Body Sensor Networks with energy harvesting , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[16]  Jamil Y. Khan,et al.  Power Efficient Ultra Wide Band Based Wireless Body Area Networks with Narrowband Feedback Path , 2014, IEEE Transactions on Mobile Computing.

[17]  Yuanyuan Yang,et al.  Network Cost Minimization for Mobile Data Gathering in Wireless Sensor Networks , 2015, IEEE Transactions on Communications.

[18]  Max J. Ammann,et al.  Impact of Hub Location on the Performance of Wireless Body Area Networks for Fitness Applications , 2015, IEEE Antennas and Wireless Propagation Letters.

[19]  Twan Basten,et al.  MoBAN: a configurable mobility model for wireless body area networks , 2011, SimuTools.

[20]  Jun Cai,et al.  Priority-aware scheduling for coexisting wireless body area networks (invited paper) , 2015, 2015 International Conference on Wireless Communications & Signal Processing (WCSP).

[21]  Nor Hisham Hamid,et al.  A Cross-Layer Opportunistic MAC/Routing protocol to improve reliability in WBAN , 2014, The 20th Asia-Pacific Conference on Communication (APCC2014).

[22]  Nor Hisham Hamid,et al.  Performance investigation of opportunistic routing using log-normal and IEEE 802.15.6 CM 3A path loss models in WBANs , 2013, 2013 IEEE 11th Malaysia International Conference on Communications (MICC).

[23]  Sudip Misra,et al.  Link-Quality-Aware Resource Allocation With Load Balance in Wireless Body Area Networks , 2018, IEEE Systems Journal.

[24]  Athanasios V. Vasilakos,et al.  Body Area Networks: A Survey , 2010, Mob. Networks Appl..

[25]  Jun-Hong Cui,et al.  Surface-Level Gateway Deployment for Underwater Sensor Networks , 2007, MILCOM 2007 - IEEE Military Communications Conference.

[26]  Raj Jain,et al.  A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems , 1998, ArXiv.

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

[28]  Ingrid Moerman,et al.  A Comprehensive Survey of Wireless Body Area Networks , 2012, Journal of Medical Systems.

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

[30]  Gang Zhou,et al.  Throughput Assurance for Multiple Body Sensor Networks , 2016, IEEE Transactions on Parallel and Distributed Systems.

[31]  Antonios Argyriou,et al.  Optimizing Data Forwarding from Body Area Networks in the Presence of Body Shadowing with Dual Wireless Technology Nodes , 2015, IEEE Transactions on Mobile Computing.

[32]  Lawrence Wai-Choong Wong,et al.  An Analysis Framework for Interuser Interference in IEEE 802.15.6 Body Sensor Networks: A Stochastic Geometry Approach , 2016, IEEE Transactions on Vehicular Technology.

[33]  B. Sikdar,et al.  Modeling and analysis of energy harvesting nodes in body sensor networks , 2008, 2008 5th International Summer School and Symposium on Medical Devices and Biosensors.

[34]  Subir Biswas,et al.  DTN routing in body sensor networks with dynamic postural partitioning , 2010, Ad Hoc Networks.

[35]  Joel J. P. C. Rodrigues,et al.  QoS-Aware Energy Management in Body Sensor Nodes Powered by Human Energy Harvesting , 2016, IEEE Sensors Journal.

[36]  Nadeem Javaid,et al.  Incremental Relay Based Cooperative Communication in Wireless Body Area Networks , 2015, ANT/SEIT.