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Reliable Event Detection and Congestion Avoidance in Wireless Sensor Networks

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High Performance Computing and Communications (HPCC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4782))

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Abstract

Due to dense deployment and innumerable amount of traffic flow in wireless sensor networks (WSNs), congestion becomes more common phenomenon from simple periodic traffic to unpredictable bursts of messages triggered by external events. Even for simple network topology and periodic traffic, congestion is a likely event due to time varying wireless channel condition and contention caused due to interference by concurrent transmissions. Congestion causes huge packet loss and thus hinders reliable event perception. In this paper, we present a congestion avoidance protocol that includes source count based hierarchical medium access control (HMAC) and weighted round robin forwarding (WRRF). Simulation results show that our proposed schemes avoid packet drop due to buffer overflow and achieves more than 90% delivery ratio even under bursty traffic condition, which is good enough for reliable event detection.

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Authors and Affiliations

  1. Networking Lab, Department of Computer Engineering, Kyung Hee University, Giheung, Yongin, Gyeonggi, 449-701, South Korea

    Md. Mamun-Or-Rashid, Muhammad Mahbub Alam, Md. Abdur Razzaque & Choong Seon Hong

Authors
  1. Md. Mamun-Or-Rashid
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  2. Muhammad Mahbub Alam
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  3. Md. Abdur Razzaque
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  4. Choong Seon Hong
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Editor information

Ronald Perrott Barbara M. Chapman Jaspal Subhlok Rodrigo Fernandes de Mello Laurence T. Yang

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© 2007 Springer-Verlag Berlin Heidelberg

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Mamun-Or-Rashid, M., Alam, M.M., Razzaque, M.A., Hong, C.S. (2007). Reliable Event Detection and Congestion Avoidance in Wireless Sensor Networks. In: Perrott, R., Chapman, B.M., Subhlok, J., de Mello, R.F., Yang, L.T. (eds) High Performance Computing and Communications. HPCC 2007. Lecture Notes in Computer Science, vol 4782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75444-2_50

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  • DOI: https://doi.org/10.1007/978-3-540-75444-2_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75443-5

  • Online ISBN: 978-3-540-75444-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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