IEEE/ACM Transactions on Networking (TON)
Source traffic modeling in wireless sensor networks for target tracking
Proceedings of the 5th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1
Spatial correlation and mobility aware traffic modeling for wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Prediction-based clustering algorithm for mobile wireless sensor networks
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Guest editorial: the internet of things
IEEE Wireless Communications
Pervasive electromagnetics: sensing paradigms by passive RFID technology
IEEE Wireless Communications
IEEE Wireless Communications
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Changes in network development concepts and paradigms are the key process at the current telecommunication arena. A shift from NGN concept to IoT, USN, M2M and other proposals is taking place. The major reason of a shift is a wide adoption of wireless sensor nodes and RFIDs. According to forecasts, more than 7 trillion wireless devices are expected to become networked by 2020. The traffic models for networks with great number of sensors and RFIDs should be studied well. This paper studies USN traffic models. The study results show that the traffic flows for fixed and mixed fixed/mobile sensor nodes are of the self-similar nature with middle level of self-similarity in both cases. The traffic flow for reconfiguration and signaling is of self-similar nature with high level of self-similarity. The Hurst parameter mean value estimations are determined for different scenarios.