2014/06/25 by Touseef Yousuf Darzi, NMIT, Bangalore India, Aminuddin Zabi +3
Computer Science · Environmental Science · #Artificial intelligence #Bandwidth (computing) #Cluster analysis #Computer network #Computer science #Distributed computing #Energy Efficient Wireless Sensor Networks #Fault tolerance #Key distribution in wireless sensor networks #Real-time computing #Security in Wireless Sensor Networks #Synchronization (alternating current) #Telecommunications #Water Quality Monitoring Technologies #Wireless #Wireless network #Wireless sensor network #cs.NI
paper · pdf · doi:10.14445/22315381/ijett-v12p256
published as IJETT, Vol.12, No.6, pp.286-292, Jun 2014. ISSN:2231-5381 · 7 pages, 11 figures, Published with International Journal of Engineering Trends and Technology (IJETT). arXiv admin note: text overlap with arXiv:1209.4751 by other authors without attribution
openalex publication_date 2014/06/25 · arxiv created 2014/07/07 · arxiv updated 2014/07/08 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
Fault control and tolerance in wireless sensor network is a challenging problem because of limited energy, bandwidth, and computational complexity. While facing numerous threats these severely resource constrained nodes are responsible for data collection, data processing, localization, time synchronization aggregation and data forwarding. One of the effective approaches to control and tolerate these threats is through clustering. In this paper we present a new method called Efficient Fault Control Mechanism for fault controlling in wireless sensor networks based on clustering and cluster-head selection. Simulation results show Efficient Fault Control Mechanism has better performance over state of art methods.