University of Limerick Institutional Repository

Effects, classification and mitigation of external interference in IEEE 802.15.4-based wireless sensor networks at 2.4 GHz

DSpace Repository

Show simple item record

dc.contributor.advisor Newe, Thomas
dc.contributor.advisor O'Keeffe, Sinéad
dc.contributor.advisor Lewis, Elfed
dc.contributor.author Zacharias, Sven
dc.date.accessioned 2014-09-23T15:46:55Z
dc.date.available 2014-09-23T15:46:55Z
dc.date.issued 2014
dc.identifier.uri http://hdl.handle.net/10344/4029
dc.description peer-reviewed en_US
dc.description.abstract The IEEE Standard 802.15.4 de nes the low power wireless transmission technology behind Wireless Sensor Networks (WSNs) and ZigBee. Since IEEE 802.15.4 is a low power technology, the mitigation of interference is vital to conserve energy and to extend the lifetime of devices. Most of the IEEE 802.15.4 radios operate in the crowded 2.4 GHz frequency band, which is also used by many other technologies. A complete study of the common sources of external interference, namely IEEE 802.11-based Wireless Local Area Networks (WLANs), Bluetooth and microwave ovens, is provided. The effects of these coexisting technologies on IEEE 802.15.4 are investigated and the modeling of the interference is discussed. The possibilities of Energy Detection (ED) (the feature behind Received Signal Strength Indication (RSSI)) and certain Clear Channel Assessments (CCAs) are evaluated. Based on the CCAs, a lightweight interference classi cation algorithm is presented to classify the common external sources of interference in the 2.4 GHz frequency band without demodulation of the inteferers' signals. As the classification algorithm relies on time patterns instead of spectral features, it has no need to change the channel. Thus, it allows the radio both to stay connected to the channel and to receive while the interferer is classified. Furthermore, interference mitigation strategies are reviewed and evaluated with respect to their effectiveness to overcome the three external sources of interference. By combining the interference classification algorithm and the chosen mitigation strategies, Interference-Aware, Self-Adapting (IASA) Medium Access Control (MAC) is developed. This smart interference-mitigating MAC protocol is implemented in ContikiOS and evaluated. en_US
dc.language.iso eng en_US
dc.publisher University of Limerick en_US
dc.subject computer networks en_US
dc.subject IEEE en_US
dc.subject wireless sensor networks en_US
dc.title Effects, classification and mitigation of external interference in IEEE 802.15.4-based wireless sensor networks at 2.4 GHz en_US
dc.type info:eu-repo/semantics/doctoralThesis en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.type.supercollection ul_theses_dissertations en_US
dc.contributor.sponsor IRC en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search ULIR


Browse

My Account

Statistics