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Jaccard similarity-based quantification of the neighborhood stability of a node in mobile sensor networks
Author(s): Natarajan Meghanathan; Quavanti Hart
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Paper Abstract

In this research, we propose to apply the Jaccard Similarity measure to quantify the extent of change in the neighborhood of a node in mobile sensor networks (MSNs) whose topology changes dynamically with time. We determine weighted average of the Jaccard Similarity (WJS) scores of the neighborhood of a node over a period of time and claim that nodes with larger WJS values (0 ≤ WJS ≤ 1) are more likely to have a stable neighborhood as well as be preferred for inclusion as intermediate nodes in communication topologies (like paths, trees, connected dominating sets, etc) for MSNs.

Paper Details

Date Published: 1 May 2017
PDF: 7 pages
Proc. SPIE 10185, Cyber Sensing 2017, 1018509 (1 May 2017); doi: 10.1117/12.2266548
Show Author Affiliations
Natarajan Meghanathan, Jackson State Univ. (United States)
Quavanti Hart, Jackson State Univ. (United States)


Published in SPIE Proceedings Vol. 10185:
Cyber Sensing 2017
Igor V. Ternovskiy; Peter Chin, Editor(s)

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