Link-Quality-Aware Resource Allocation With Load Balance in Wireless Body Area Networks

Due to interference from other coexisting wireless body area networks (WBANs), link quality between a particular WBAN and access points (APs) significantly varies. Consequently, the performance of a WBAN varies with the changes in the link quality. Additionally, a WBAN unnecessarily tries to send its real-time data to the sink node, whereas the corresponding link quality drops below a predefined threshold value, to maintain adequate network performance. To address this situation, in this paper, we propose a link-quality-aware resource allocation scheme in WBANs—an effort toward maximizing the overall network performance. The proposed scheme consists of two phases—temporal link quality measurement and subchannel allocation among the WBANs. In the former, we predict correlations among different aspects of link quality. Based on the available correlated link qualities, the subchannel allocation phase divides the available bandwidth into several subchannels to maintain the quality of service of the network. The performance of the proposed scheme is evaluated based on different performance metrics—path loss, throughput, number of dead nodes, and fairness index of WBANs. The simulation results show that the performance of a WBAN significantly increases, if the link-quality-aware resource allocation is made between a WBAN and available APs.

[1]  Divya Sharma,et al.  Body area networks: A survey , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).

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

[3]  R. Srikant,et al.  Scheduling in Multi-Channel Wireless Networks: Rate Function Optimality in the Small-Buffer Regime , 2009, IEEE Transactions on Information Theory.

[4]  Yoshito Tobe,et al.  Link-Correlation-Aware Opportunistic Routing in Wireless Networks , 2015, IEEE Transactions on Wireless Communications.

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

[6]  P. Yazhini,et al.  Link-Stability and Energy Aware Routing Protocol in Distributed Wireless Networks , 2014 .

[7]  Floriano De Rango,et al.  Link-Stability and Energy Aware Routing Protocol in Distributed Wireless Networks , 2012, IEEE Transactions on Parallel and Distributed Systems.

[8]  P. Young,et al.  Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.

[9]  Nadeem Javaid,et al.  SIMPLE: Stable Increased-Throughput Multi-hop Protocol for Link Efficiency in Wireless Body Area Networks , 2013, 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications.

[10]  Hongqiang Zhai,et al.  Opportunistic media access control and rate adaptation for wireless ad hoc networks , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[11]  Seung Hyong Rhee,et al.  An efficient multi-channel management protocol for Wireless Body Area Networks , 2009, 2009 International Conference on Information Networking.

[12]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1971 .

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

[14]  Sudip Misra,et al.  Priority-Based Time-Slot Allocation in Wireless Body Area Networks During Medical Emergency Situations: An Evolutionary Game-Theoretic Perspective , 2015, IEEE Journal of Biomedical and Health Informatics.

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

[16]  Chiara Buratti,et al.  Link Adaptation in Wireless Body Area Networks , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

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

[18]  Nadeem Javaid,et al.  FEEL: Forwarding Data Energy Efficiently with Load Balancing in Wireless Body Area Networks , 2014, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.

[19]  Dharma P. Agrawal,et al.  Channel allocation and medium access control for wireless sensor networks , 2009, Ad Hoc Networks.

[20]  Xirong Que,et al.  Scheduling and resource allocation for wireless dynamic adaptive streaming of scalable videos over HTTP , 2014, 2014 IEEE International Conference on Communications (ICC).

[21]  Nadeem Javaid,et al.  LAEEBA: Link Aware and Energy Efficient Scheme for Body Area Networks , 2014, 2014 IEEE 28th International Conference on Advanced Information Networking and Applications.