@inbook{f2261df149914a0287eab0d8449df675,
title = "Towards detecting WiFi aggregated interference for wireless sensors based on traffic modelling",
abstract = "We present a technique to identify transmission timing for IEEE802.15.4 basedWireless Sensor Networks (WSNs) in the presence of WiFi interference. Our technique is based on modeling WiFi traffic with a Modulated Markov Poisson Process (MMPP) model in order to enable us to predict when WiFi transmissions take place and avoid them. We have evaluated the accuracy of our model in a small test-bed. Results are promising and suggest that our approach can increase the reliability of IEEE802.15.4 transmissions.",
keywords = "Cognitive radio, Interference detection, Traffic modelling, Wireless sensor networks",
author = "Dhanapala, \{Indika S.A.\} and Ramona Marfievici and Piyush Agrawal and Dirk Pesch",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016 ; Conference date: 26-05-2016 Through 28-05-2016",
year = "2016",
month = aug,
day = "8",
doi = "10.1109/DCOSS.2016.31",
language = "English",
series = "Proceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "108--109",
booktitle = "Proceedings - 12th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2016",
address = "United States",
}