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Packet Recovery Approach for Addressing Burstiness in Wireless Sensor Network

K. Pallavi

Abstract


As wireless sensor networks mature, they are increasingly being used in real-time applications. Many of these applications require reliable transmission within latency bounds. Achieving this goal is very difficult because of link burstiness and interference. The burst-behavior of the wireless links may change due to a change in the physical environment, e.g. node failure, node replacement, or unexpected obstacles. To address this problem we propose two different approaches: packet recovery and link adaptation .In this paper packet recovery approach is addressed. The stimulated annealing algorithm is used to schedule the packet to reach the destination. If some of the packets does not reach destination then, the packet recovery approach is used to retransmit the failure packet. In a packet recovery approach, every node has a queue to hold the un-transmitted packet. The packet can be transmitted later at some other period if there are extra time slots left for packet transmission after all the packets of that period are transmitted successfully. In this way, the packet reaches the destination although it missed its deadline.

Keywords


Link Burstiness, Link Interference, Latency Bound, Reliable Transmission, Real-Time Applications.

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References


H. Hou, V. Borkar, and P. R. Kumar. A theory of qos for wireless. In Infocom 2009

S. Lin, G. Zhou, K. Whitehouse, Y. Wu, J. A.Stankovic, and T. He. Towards stable network performance for wireless sensor networks. In IEEE RTSS '09.

Willig. How to exploit spatial diversity in wireless industrial networks. In IFAC Annual Reviews in Control, 2008

K. Srinivasan, M. A. Kazandjieva, S. Agarwal, and P. Levis. The b factor: Measuring wireless link burstiness. In SenSys '08.

P. Agrawal and N. Patwari. Correlated link shadow fading in ulti-hop wireless networks. In TechReportarXiv:0804.2708v2, 2008.

T. L. Crenshaw, S. Hoke, A. Tirumala, and M. Caccamo. Robust implicit edf: A wireless mac protocol for collaborative real-time systems. ACM Transactions on Embedded Computing Systems (TECS), 2007.

S. Lin, J. Zhang, G. Zhou, L. Gu, T. He, and J. A.Stankovic. Atpc: Adaptive transmission power control for wireless sensor networks.In ACM SenSys '06.

T. He, S. Krishnamurthy, L. Luo, T. Yan, L. Gu, R. Stoleru, G. Zhou, Q. Cao, P. Vicaire, J. A.Stankovic, T. F. Abdelzaher, J. Hui and B. Krogh. Vigilnet: An integrated sensor network system for energy-efficient surveillance. ACM Trans. Sen. Netw.,2006.

Cerpa, J. L. Wong, M. Potkonjak, and D. Estrin. Temporal properties of low power wireless links: Modeling and implications on multi hop routing. In MobiHoc '05.

H. Li, P. Shenoy, and K. Ramamritham. Scheduling messages with deadlines in multi-hop real-time sensor networks. In RTAS '05.

G. Zhou, T. He, S. Krishnamurthy, and J. A.Stankovic. Impact of radio irregularity on wirelesssensor networks. In ACM MOBISYS 2004.

V. Raghunathan, S. Ganeriwal, C. Schurgers, and M. B.Srivastava. Energy efficient wireless packet scheduling and fair queuing. In ACM Transactions on Embedded Computing Systems, 2004.

T. He, J. A. Stankovic, C. Lu, and T. F. Abdelzaher. Speed: A stateless protocol for real-timecommunication in sensor networks. In ICDCS '03.

J. Elson, L. Girod, and D. Estrin. Fine-grained network time synchronization using reference . In (OSDI 2002).

T. Rusak and P. Levis. Burstiness and scaling in low power wireless simulation. In MobiCom'08.

G. Hackmann, O. Chipara, and C. Lu. Robust topology control for indoor wireless sensor networks. In SenSys '08: Proceedings of the 6th ACM conference on Embedded network sensor systems, 2008.

Sirajum Munir, Shan Lin, Enamul Hoque, S. M. Shahriar Nirjon, John A. Stankovic. “Addressing Burstiness for Reliable Communication and Latency Bound Generation in Wireless Sensor Networks”. In ACM Transactions on Embedded Computing Systems, 2010.

M. Franceschinis, M. A. Spirito, R. Tomasi, G. Ossini, and M. Pidala. Using wsn technology for industrial monitoring: A real case. In SENSORCOMM '08.


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