Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2745
Title: Design and Evaluation of Algorithms for Energy Efficient and Complete Determination of Critical Nodes for Wireless Sensor Network Reliability
Authors: Dağdeviren, Orhan
Akram, Vahid Khalilpour
Tavlı, Bülent
Keywords: Connected dominating set (CDS)
connectivity
critical node
depth-first search (DFS)
reliability
wireless sensor networks (WSNs)
Issue Date: Mar-2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Dagdeviren, O., Akram, V. K., and Tavli, B. (2018). Design and evaluation of algorithms for energy efficient and complete determination of critical nodes for wireless sensor network reliability. IEEE Transactions on Reliability, 68(1), 280-290.
Abstract: A critical node (cut vertex or articulation point) in wireless sensor networks, is a node which its failure breaks the connectivity of the network. Therefore, it is crucial that critical nodes be detected and treated with caution. This paper provides two localized distributed algorithms for determining the states of nodes (critical or noncritical). The first proposed algorithm identifies most of the critical and noncritical dominator nodes from two-hop local subgraph and connected dominating set (CDS) information that limits the computational complexity to O(Delta(2)) and bit complexity to O(clog(2) n) where Delta is the maximum node degree, c is the critical node count, and n is the node count. The testbed experiments and simulation results show that this algorithm detects up to 93% of critical nodes and achieves up to 91% of state determination with low energy consumption. The second proposed algorithm, which is based on the first one, finds the states of all nodes by running a limited distributed depth-first search algorithm in unrecognized parts of the network without traversing the whole network. Comprehensive testbed experiments and simulation results reveal that, in the presence of a CDS, this algorithm finds all critical nodes with lower energy consumption than all existing algorithms.
URI: https://hdl.handle.net/20.500.11851/2745
https://ieeexplore.ieee.org/document/8525432
ISSN: 0018-9529
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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