S. Hossein Mortazavi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
S. Hossein Mortazavi has a total of 2 co-authors. Here are the top co-authors by number of shared publications:
- Mike H. MacGregor
Department of Computing Science, University of Alberta, Edmonton, Alberta, T6G 2E8, Canada
1 shared publication Mohammad Salehe
Computer Engineering Department, Sharif University of Technology, Tehran, Iran
1 shared publication
Latest Publications
- 1 January 2014
- Published by Inderscience Publishers in International Journal of Sensor Networks
- Vol. 16 (3) , 185-198
Maximum WSN coverage in environments of heterogeneous path loss
We study wireless sensor network (WSN) node placement in an environment where RF signal losses vary with position. This reflects real-world outdoor environments where vegetation and topography cause nonuniform path loss. Many techniques that solve for a variety of objective functions subject to various constraints have previously been proposed for node placement. However, many of these methods make simplifying assumptions such as all nodes having the same transmission range. Our goal is to take the insights and approaches of this previous ork and extend it to real-world environments. The present work assumes we have a map that quantifies the path loss behaviour of the real environment. Based on this map, and a path loss model that accounts for spatial variations in the path loss exponent, we propose a node placement algorithm for two-tiered WSNs that maximises the area covered by a specified number of relay nodes and sensor nodes.
- 1 January 2014
- Published by Inderscience Publishers in International Journal of Sensor Networks
- Vol. 16 (3) , 185-198
Maximum WSN coverage in environments of heterogeneous path loss
We study wireless sensor network (WSN) node placement in an environment where RF signal losses vary with position. This reflects real-world outdoor environments where vegetation and topography cause nonuniform path loss. Many techniques that solve for a variety of objective functions subject to various constraints have previously been proposed for node placement. However, many of these methods make simplifying assumptions such as all nodes having the same transmission range. Our goal is to take the insights and approaches of this previous ork and extend it to real-world environments. The present work assumes we have a map that quantifies the path loss behaviour of the real environment. Based on this map, and a path loss model that accounts for spatial variations in the path loss exponent, we propose a node placement algorithm for two-tiered WSNs that maximises the area covered by a specified number of relay nodes and sensor nodes.