A class based QoS model for Wireless Body Area Sensor Networks

Wireless Body Area Sensor Networks (WBASNs) applications have emerged as major type of Wireless Sensor Networks (WSN). Ample research work has already carried out to improve the QoS in WSN. However, QoS provision in WBASN needs further investigation. Majority of the research work in WBASN improves the QoS considering timeliness, latency or energy as a basic requirement. Most of the researchers working on MAC layer consider one of the QoS parameter energy, timeliness or reliability. This paper proposes a class based QoS model for QoS support in WBASN.The proposed model simultaneously ensure high throughput and low data latency. Our proposed model works on multihop topology. The model provides QoS provisioning by defining three classes of services (i.e. guaranteed service, real time service, and best effort services). Data categorized into three classes and scheduled according to their priority with the help of classifier. The schedules data put in the queue and then served from here according to their priority. We highlighted the need of QoS support in BASN by evaluating the performance of BASN by using Castalia when there is no QoS provision in various scenarios. The proposed QoS model support for high throughput and low delay for critical data. In WBASN critical data needs to be delivered quickly particularly in medical applications. Our proposed QoS model increases the critical traffic throughput by ensuring a minimum delay of the critical nodes. We implement the proposed model through simulations and the results show that the proposed model improves the delay and throughput of the critical nodes.

[1]  Shahaboddin Shamshirband,et al.  A Method in Security of Wireless Sensor Network based on Optimized Artificial immune system in Multi-Agent Environments , 2015, ArXiv.

[2]  Patel Jay,et al.  Self-Healing Sensor Network Key Distribution Scheme for Secure Communication , 2013 .

[3]  H. Bakht Routing protocols for mobile ad hoc networks , 2005 .

[4]  Luis Alonso,et al.  Novel QoS scheduling and energy-saving MAC protocol for body sensor networks optimization , 2008, BODYNETS.

[5]  Xiaohui Liang,et al.  Secure and quality of service assurance scheduling scheme for WBAN with application to eHealth , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[6]  Robert A. Scholtz,et al.  Performance Analysis of , 1998 .

[7]  Fabien Massé,et al.  Quality-of-Service in BAN: PER Reduction and its Trade-Offs , 2010, 2010 International Conference on Body Sensor Networks.

[8]  Sengar Abhishek,et al.  Performance Evaluation of AODV and DSDV Routing protocols for Ad-hoc Networks , 2012 .

[9]  Sachin Kumar Gupta,et al.  Routing Protocols in Mobile Ad-hoc Networks \ , 2011 .

[10]  Thomas Falck,et al.  Quality of Service for IEEE 802.15.4-based Wireless Body Sensor Networks , 2009, 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare.

[11]  Hussein T. Mouftah,et al.  Urgency-Based MAC Protocol for Wireless Sensor Body Area Networks , 2010, 2010 IEEE International Conference on Communications Workshops.

[12]  Feng Xia,et al.  DISG: Decentralized Inter-user Interference Suppression in Body Sensor Networks with Non-cooperative Game , 2010, 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing.

[13]  Rosli Salleh,et al.  Performance Analysis of AODV, AOMDV, DSR, DSDV Routing Protocols in Vehicular Ad Hoc Network , 2013 .

[14]  Shamshirband Shahaboddin,et al.  A Method in Security of Wireless Sensor Network based on Optimized Artificial immune system in Multi-Agent Environments , 2015, 1508.01706.

[15]  Gang Zhou,et al.  BodyQoS: Adaptive and Radio-Agnostic QoS for Body Sensor Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[16]  Feng Shu,et al.  Performance evaluation of the IEEE 802.15.4 CSMA-CA protocol with QoS differentiation , 2008, 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[17]  Swarna Bharathi,et al.  Security and Energy efficiency in Ad Hoc Networks , 2013 .