Title :
An Alternative Clustering Scheme in WSN
Author :
Izadi, Davood ; Abawajy, Jemal ; Ghanavati, Sara
Author_Institution :
Parallel & Distrib. Comput. Lab., Deakin Univ. Australia, Geelong, VIC, Australia
Abstract :
Despite significant advancements in wireless sensor networks (WSNs), energy conservation in the networks remains one of the most important research challenges. One approach commonly used to prolong the network lifetime is through aggregating data at the cluster heads (CHs). However, there is possibility that the CHs may fail and function incorrectly due to a number of reasons such as power instability. During the failure, the CHs are unable to collect and transfer data correctly. This affects the performance of the WSN. Early detection of failure of CHs will reduce the data loss and provide possible minimal recovery efforts. This paper proposes a self-configurable clustering mechanism to detect the disordered CHs and replace them with other nodes. Simulation results verify the effectiveness of the proposed approach.
Keywords :
energy conservation; pattern clustering; telecommunication network reliability; wireless sensor networks; CH; WSN; alternative clustering scheme; cluster head; data aggregation; energy conservation; failure detection; network lifetime; power instability; self-configurable clustering mechanism; wireless sensor network; Energy consumption; Fuzzy logic; Nominations and elections; Protocols; Sensors; Uncertainty; Wireless sensor networks; Backup Cluster Head; Backup cluster head; Predicted and Unpredicted Cluster Head Failure; Type-2 Fuzzy Logic; predicted and unpredicted cluster head failure; type-2 fuzzy logic;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2015.2411598