Abstract
In this paper we develop a simple yet effective heuristic algorithm to estimate the location of a sensor node in wireless sensor networks. Our method utilizes a simple and inexpensive received signal strength (RSS) measurement at a node to maximize the maximum likelihood (ML) function in a localization problem. We show via numerical results that the location estimations obtained from the new method are more accurate compared to those of traditional techniques. The algorithm can also be easily used to track the movement of a node in wireless sensor networks.
Original language | English |
---|---|
Title of host publication | 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 |
Pages | 229-233 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 1 Dec 2008 |
Externally published | Yes |
Event | International Conference on Control, Automation, Robotics and Vision 2008 - Hanoi, Vietnam Duration: 17 Dec 2008 → 20 Dec 2008 Conference number: 10th https://ieeexplore.ieee.org/xpl/conhome/4786611/proceeding (Proceedings) |
Publication series
Name | 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 |
---|
Conference
Conference | International Conference on Control, Automation, Robotics and Vision 2008 |
---|---|
Abbreviated title | ICARCV 2008 |
Country/Territory | Vietnam |
City | Hanoi |
Period | 17/12/08 → 20/12/08 |
Internet address |
Keywords
- Positioning and movement tracking
- Received signal strength (RSS)
- Sensor networks