Fault-resilient sensing in wireless sensor networks
Document Type
Article
Publication Date
9-10-2007
Abstract
Research on wireless sensor networks (WSNs) has received tremendous attention in the past few years due to their potential applications and advances in the VLSI design. In WSNs with tiny sensors, mobility of a sink may provide an energy efficient way for data dissemination. Having a mobile sink in WSN, however, creates new challenges to routing and sensor distribution modeling in the network. In this paper, based on clustering and routing optimization algorithms, we propose a new scheme called K-means and TSP-based mobility (KAT mobility). After clustering the sensor nodes, the proposed method navigates the mobile sink to traverse through the cluster centers according to the trajectory of an optimized route. The mobile sink then collects the data from sensors at the visited clusters. Simulation results have demonstrated that the proposed scheme can provide not only better energy efficiency as compared to those obtained by conventional methods which assume random waypoint for the mobile sink, but also fault-resilience in case of malfunctions of some sensors due to attacks. © 2007 Elsevier B.V. All rights reserved.
Identifier
34548038361 (Scopus)
Publication Title
Computer Communications
External Full Text Location
https://doi.org/10.1016/j.comcom.2007.04.023
ISSN
01403664
First Page
2375
Last Page
2384
Issue
11-12
Volume
30
Fund Ref
Japan Science and Technology Agency
Recommended Citation
Nakayama, Hidehisa; Ansari, Nirwan; Jamalipour, Abbas; and Kato, Nei, "Fault-resilient sensing in wireless sensor networks" (2007). Faculty Publications. 13319.
https://digitalcommons.njit.edu/fac_pubs/13319
