Abstract
Any radio signal gets exposed to some attenuation over dis- tance, and is received at the receiver as its distorted version and is superposed with other wireless signals transmitted in the neighborhood. In wireless communications, the use- ful signal is usually decoded by assuming the sum of all other wireless signal transmissions as noise. Interference be- tween coexisting transmissions can cause severe performance degradation in wireless sensor networks (WSNs). In this paper we have reviewed interference models for wireless sensor networks. Since a decade or more, densifica- tion of networks increases the impact of interference. New models have been proposed but are not yet included into network simulators. This could be source of a big difference between simulations and real deployments.
| Original language | English |
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| Title of host publication | Proceedings of the International Conference on Big Data and Advanced Wireless Technologies, BDAW 2016 |
| Editors | Djallel Eddine Boubiche, Hani Hamdan, Ahcene Bounceur |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450347792 |
| DOIs | |
| State | Published - 10 Nov 2016 |
| Externally published | Yes |
| Event | 2016 International Conference on Big Data and Advanced Wireless Technologies, BDAW 2016 - Blagoevgrad, Bulgaria Duration: 10 Nov 2016 → 11 Nov 2016 |
Publication series
| Name | ACM International Conference Proceeding Series |
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Conference
| Conference | 2016 International Conference on Big Data and Advanced Wireless Technologies, BDAW 2016 |
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| Country/Territory | Bulgaria |
| City | Blagoevgrad |
| Period | 10/11/16 → 11/11/16 |
Bibliographical note
Publisher Copyright:© 2016 ACM.
Keywords
- CupCarbon
- Im-pulsive Interference
- Smart Cities
- Wireless Communications
- Wireless Sensor Networks
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications