Fault-Tolerant Low-Power Adaptive Clustering Algorithm for Wireless Sensor Networks
To address the issue of data reliability not being guaranteed due to a lack of fault tolerance during the clustering phase,a fault-tolerant clustering algorithm for wireless sensor networks based on local world was proposed.Firstly,we built a wireless sensor network topology structure composed of multiple clusters within a local world,based on the community theory of local world and the balanced theory of symbolic network structures.Then,we introduced the concepts of potential games and optimal rigid subgraphs,and optimized the network topology structure according to the location of edges with smaller aggregation coefficients.With the support of the priority concept and bandwidth res-ervation technology,we designed a fault-tolerant mechanism.Meanwhile,we used the remaining energy of nodes and clusters as the basis for selecting cluster head.Finally,we used the low-power adaptive clustering hierarchy protocol to obtain a fault-tolerant cluster head,thus achieving the fault-tolerant clustering in wireless sensor networks.Through the experiment,it was found that the proposed algorithm effectively addresses issues such as premature node failure and rapid failure.After fault-tolerant clustering,the number of dead nodes and node energy consumption are reduced,and the operational cycle was extended.In addition,the throughput capacity is enhanced as well.
Local worldWireless sensor networkFault tolerance mechanismEnergy consumptionMulti-hop communication
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