Research breakthrough possible @S-Logix pro@slogix.in

Office Address

  • 2nd Floor, #7a, High School Road, Secretariat Colony Ambattur, Chennai-600053 (Landmark: SRM School) Tamil Nadu, India
  • pro@slogix.in
  • +91- 81240 01111

Social List

On the Vulnerabilities of Voronoi-Based Approaches to Mobile Sensor Deployment - 2016

On the Vulnerabilities of Voronoi-Based Approaches to Mobile Sensor Deployment

Research Area:  Wireless Sensor Networks

Abstract:

Mobile sensor networks are the most promising solution to cover an Area of Interest (AoI) in safety critical scenarios. Mobile devices can coordinate with each other according to a distributed deployment algorithm, without resorting to human supervision for device positioning and network configuration. In this paper, we focus on the vulnerabilities of the deployment algorithms based on Voronoi diagrams to coordinate mobile sensors and guide their movements. We give a geometric characterization of possible attack configurations, proving that a simple attack consisting of a barrier of few compromised sensors can severely reduce network coverage. On the basis of the above characterization, we propose two new secure deployment algorithms, named SecureVor and Secure Swap Deployment (SSD). These algorithms allow a sensor to detect compromised nodes by analyzing their movements, under different and complementary operative settings. We show that the proposed algorithms are effective in defeating a barrier attack, and both have guaranteed termination. We perform extensive simulations to study the performance of the two algorithms and compare them with the original approach. Results show that SecureVor and SSD have better robustness and flexibility and excellent coverage capabilities and deployment time, even in the presence of an attack.

Keywords:  

Author(s) Name:  Novella Bartolini,Stefano Ciavarella,Simone Silvestri and Thomas La Porta

Journal name:  IEEE Transactions on Mobile Computing

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/TMC.2016.2524630

Volume Information:  Volume: 15, Issue: 12, Dec. 1 2016, Page(s): 3114 - 3128