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On the Number of Anchor Nodes for the Localization of Smart Energy Meters (SEM) in an African Environment
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 108 - Number 10 |
| Year of Publication: 2014 |
| Authors: Griffith S. Klogo, James D. Gadze, Henry Nunoo-mensah |
10.5120/18950-0089
|
Griffith S. Klogo, James D. Gadze, Henry Nunoo-mensah . On the Number of Anchor Nodes for the Localization of Smart Energy Meters (SEM) in an African Environment. International Journal of Computer Applications. 108, 10 ( December 2014), 31-34. DOI=10.5120/18950-0089
Abstract
The number of anchor nodes required for accurate localization is an important problem in the wireless sensor network research community. The error associated with localization is high when anchor nodes are not optimally placed in the network. No matter how the network is set up, the error associated with localization is inevitable. There are various sources for these errors, one of which is the unavailability of anchor nodes. These conditions arise due to stumpy deployment density or poor signal propagation owing to factors like multipath effects, fading effects and poor visibility. This paper proposes a method of determining the minimum number of anchor nodes required for a given sensor (smart energy meter) network dimension using triangulation as the localization process. The proposed method uses the sensitivity of the sensor nodes and various environmental conditions. Using the sensitivity of the sensor nodes and the environmental conditions, the minimum number of anchor nodes for a network dimension was determined through simulation. The minimum number of anchors required for a network with clear line of sight, sub-urban, residential and non-line of sight environments was achieved with this method.
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