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.

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Natarajan Meghanathan and Quavanti Hart, "Jaccard similarity-based quantification of the neighborhood stability of a node in mobile sensor networks," Proc. SPIE 10185, Cyber Sensing 2017, 1018509 (Presented at SPIE Defense + Security: April 11, 2017; Published: 1 May 2017); https://doi.org/10.1117/12.2266548.