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Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06)
On the Modeling of Data Aggregation and Report Delivery in QoS-constrained Sensor Networks
Pisa, Italy
March 13-March 17
ISBN: 0-7695-2520-2
Jin Zhu, Univ. of Northern Iowa
Symeon Papavassiliou, National Technical University of Athens
Stella Kafetzoglou, National Technical University of Athens
Jie Yang, NJIT, Newark, NJ
In this paper the problem of efficient data aggregation and report delivery in QoS-constrained distributed sensor networks is investigated. An analytical statistical model is introduced, to represent the data aggregation and report delivery process in sensor networks, with specific delivery quality requirements in terms of the achievable end-to-end delay and the successful report delivery probability. Furthermore, a lower bound approximation of the corresponding successful report delivery probability is obtained. The tradeoffs among various design parameters, as well as the impact of these parameters on the successful report delivery probability and its corresponding bound, are also discussed and evaluated.
Citation:
Jin Zhu, Symeon Papavassiliou, Stella Kafetzoglou, Jie Yang, "On the Modeling of Data Aggregation and Report Delivery in QoS-constrained Sensor Networks," percomw, pp.347-351, Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06), 2006
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