Interference Reduction in Mobile Ad Hoc and Sensor Networks
Details
There are still a lot of open questions in the field of MANETs and sensor networks. If a topology incurs a large interference, either many communication signals sent by nodes will collide, or the network may experience a serious delay at delivering the data for some nodes, and even consume more energy. So, we reach to the conclusion that interference imposes a potential negative impact on the performance of wireless networks. Researchers actively explored topology control (TC) approaches for such networks. The motivation of TC is to maintain the connectivity of the network, reduce the node degree and thereby reduce the interference, and reduce power consumption in the sensor nodes. To improve the network performance, designing TC algorithms with consideration of interference is imminent and necessary. Since, it leads to fewer collisions and packet retransmissions, which indirectly reduces the power consumption and extends the lifetime of the network. In this thesis, we propose a new interference-aware connected dominating set-based topology construction algorithm, namely, IACDS, a simple, distributed, interference-aware and energy-efficient TC mechanism.
Autorentext
Maaly Awad Hassan received her BSc and MSc degrees in Computer Engineering from the Islamic University of Gaza in 2007 and 2010 respectively. Her research focused on combining fields such as Interference Reduction, Routing, Topology Control, QoS, Security, DoS & Graphic Theory as a means for understanding Mobile Ad Hoc and Sensor Networks.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783844391923
- Anzahl Seiten 104
- Genre Allgemein & Lexika
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 173g
- Untertitel Through Topology Control
- Größe H220mm x B150mm x T7mm
- Jahr 2011
- EAN 9783844391923
- Format Kartonierter Einband
- ISBN 3844391924
- Veröffentlichung 29.04.2011
- Titel Interference Reduction in Mobile Ad Hoc and Sensor Networks
- Autor Maaly Awad Hassan
- Sprache Englisch