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Localization in Wireless Sensor Networks using Bilateration Enhanced by Negative Knowledge
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 19 |
| Year of Publication: 2020 |
| Authors: Saroja P. Kanchi |
10.5120/ijca2020920720
|
Saroja P. Kanchi . Localization in Wireless Sensor Networks using Bilateration Enhanced by Negative Knowledge. International Journal of Computer Applications. 175, 19 ( Sep 2020), 47-51. DOI=10.5120/ijca2020920720
Abstract
Wireless sensor networks are widely used in data collection and processing due to versatility of its deployment and low cost for monitoring physical and environmental conditions such as pressure, temperature, etc. [1]. Typically, Wireless sensor networks (WSNs) contain thousands of nodes. Localization of WSN is the problem of determining the geo-locations of sensor nodes in the network under given constraints and information. Range-based localization algorithms [5] deal with finding the geo-locations given the distances between neighboring sensors that are within the radio range of the node. However, distance information is available only between two nodes within the radio range. In general, having distance information to localized nodes helps localize an unlocalized node. In this paper, a novel enhancement is proposed where a missing distance information between nodes is used to localize a node. It is demonstrated that using this negative knowledge leads to better performance in localizing both sparse and dense network graphs.
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