Priority based bandwidth allocation in wireless sensor networks

Most of the sensor network applications need real time communication and the need for deadline aware real time communication is becoming eminent in these applications. These applications have different dead line requirements also. The real time applications of wireless sensor networks are bandwidth sensitive and need higher share of bandwidth for higher priority data to meet the dead line requirements. In this paper we focus on the MAC layer modifications to meet the real time requirements of different priority data. Bandwidth partitioning among different priority transmissions is implemented through MAC layer modifications. The MAC layer implements a queuing model that supports lower transfer rate for lower priority packets and higher transfer rate for real time packets with higher priority, minimizing the end to end delay. The performance of the algorithm is evaluated with varying node distribution.

[1]  Chenyang Lu,et al.  RAP: a real-time communication architecture for large-scale wireless sensor networks , 2002, Proceedings. Eighth IEEE Real-Time and Embedded Technology and Applications Symposium.

[2]  Li Ying,et al.  An Adaptive Real-Time Routing Scheme for Wireless Sensor Networks , 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).

[3]  Cherian Mary,et al.  A Deadline Aware Real-time Routing Protocol for Wireless Sensor Networks , 2011 .

[4]  T. R. Gopalakrishnan Nair,et al.  A Priority Based Scheduling Technique for Multipath Routing in Wireless Sensor Networks , 2011 .

[5]  T. R. Gopalakrishnan Nair,et al.  A QoS-Aware Routing Protocol for Real-time Applications in Wireless Sensor Networks , 2012, ArXiv.

[6]  Thierry Turletti,et al.  IEEE 802.11 rate adaptation: a practical approach , 2004, MSWiM '04.

[7]  Thomas Watteyne,et al.  Proposition of a hard real-time MAC protocol for wireless sensor networks , 2005, 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.

[8]  Sukumar Nandi,et al.  Cross Layer Adaptation for QoS in WSN , 2011, ArXiv.

[9]  T. Qureshi,et al.  Proposition and Simulation of a Network Layer based Hard Real Time Protocol for Wireless Sensor Networks , 2007, 2007 16th IST Mobile and Wireless Communications Summit.

[10]  Chung Shue Chen,et al.  Real-time QoS support in wireless sensor networks: a survey , 2007 .

[11]  Iftikhar Ahmad,et al.  Improved Quality of Service Protocol for Real Time Traffic in MANET , 2013, ArXiv.

[12]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[13]  Behzad Akbari,et al.  Priority Scheduling for Multipath Video Transmission in WMSNS , 2013 .

[14]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[15]  Sadiq M. Sait,et al.  International Journal of Computer Networks & Communications (IJCNC) , 2011 .

[16]  Lui Sha,et al.  An implicit prioritized access protocol for wireless sensor networks , 2002, 23rd IEEE Real-Time Systems Symposium, 2002. RTSS 2002..

[17]  Chenyang Lu,et al.  SPEED: a stateless protocol for real-time communication in sensor networks , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..

[18]  © R. Bettati Priority-driven Scheduling of Periodic Tasks , 2000 .

[19]  Ki-Il Kim,et al.  Reliable and real-time data dissemination in wireless sensor networks , 2008, MILCOM 2008 - 2008 IEEE Military Communications Conference.

[20]  E. Merzari,et al.  Large-Scale Simulations on Thermal-Hydraulics in Fuel Bundles of Advanced Nuclear Reactors , 2007 .

[21]  D. Sudakin,et al.  Appendix A , 2007, Journal of agromedicine.

[22]  M. Cherian,et al.  A Real Time Routing Protocol for Detection of Time Critical Events in Wireless Sensor Networks , 2013 .