Jaccard similarity-based quantification of the neighborhood stability of a node in mobile sensor networks

Natarajan Meghanathan; Quavanti Hart

doi:10.1117/12.2266548

1 May 2017 Jaccard similarity-based quantification of the neighborhood stability of a node in mobile sensor networks

Natarajan Meghanathan, Quavanti Hart

Proceedings Volume 10185, Cyber Sensing 2017; 1018509 (2017) https://doi.org/10.1117/12.2266548
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

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.

Conference Presentation

Citation Download Citation

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 (1 May 2017); https://doi.org/10.1117/12.2266548

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available