Abstract
The computational capabilities of off-the-shelf wireless sensors networks presents a limitation when more complex forms of localization algorithms are employed for location estimation purposes, particularly in an indoor environment. Range-free algorithms rely on Received Signal Strength (RSS) from sensors that are location aware (anchor nodes) as the major means of distance estimation. This paper presents a non-site specific algorithm for better estimating RSS relationship with distance. By employing a unique form of rationalization of raw RSS with respect to distance using the proposed algorithm, it is possible to enhance the reliability of RSS when employed in indoor Localization Algorithms. Consequently, this paper presents an innovative RSS-Distance rationalization algorithm for localization of objects in an indoor environment. The paper compared the proposed algorithm with Simple Moving Average (SMA) algorithm due to the wide applicability and ease of manipulation of SMA. The analysis of the proposed algorithm and SMA shows that the proposed algorithm better modifies RSS for more accurate position estimation in an indoor environment.
Highlights
Localization using wireless sensors relies on inter-nodal distance measurements between anchors using the coordinate system or the knowledge of the enclosed geographical environment
We propose a unique procedure for modifying the Received Signal Strength (RSS) data from sensor nodes for reliable distance estimation
RSS is a free WSN resource for localization, with a high level of uncertainty when used in its raw form for indoor distance estimation and poor localization estimates
Summary
Localization using wireless sensors relies on inter-nodal distance measurements between anchors using the coordinate system or the knowledge of the enclosed geographical environment. It is pointless to sense data without the awareness of the nodes position or location. It is only when sensor nodes are rightly sited, that the events of interest can be appropriately monitored [2] [3] [4]. Off-the-shelf sensor nodes can be used to implement range-free algorithms, our interest in RSS as a free resource for localization algorithms
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