Paper
10 November 2022 Non-uniform clustering routing algorithm based on Meanshift in SDWSN
Pingzhang Gou, Chen Yuan, Wenquan Cao
Author Affiliations +
Proceedings Volume 12331, International Conference on Mechanisms and Robotics (ICMAR 2022); 123310A (2022) https://doi.org/10.1117/12.2652228
Event: International Conference on Mechanisms and Robotics (ICMAR 2022), 2022, Zhuhai, China
Abstract
Traditional WSNs clustering routing cluster head task is heavy, resulting in excessive network energy consumption. In order to reduce energy consumption and prolong the network life cycle, a non-uniform clustering routing algorithm based on Meanshift in SDWSN (SD-MNCR) is proposed. The controller uses the Meanshift clustering algorithm to campaign for cluster heads, and performs non-uniform clustering to reduce hot spots, and periodically refreshes the network. In the routing stage, the branch and bound method is used to realize the optimal path between cluster heads, and then the flow table is generated and sent to the sensor nodes to realize data transmission. Simulation experiments show that compared with LEACH, UCR and SDN-based ESR-W algorithms, SD-MNCR cluster heads have relatively low energy consumption and a relatively large number of cluster heads to survive, thereby prolonging the network life cycle.
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Pingzhang Gou, Chen Yuan, and Wenquan Cao "Non-uniform clustering routing algorithm based on Meanshift in SDWSN", Proc. SPIE 12331, International Conference on Mechanisms and Robotics (ICMAR 2022), 123310A (10 November 2022); https://doi.org/10.1117/12.2652228
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KEYWORDS
Head

Sensor networks

Sensors

Data modeling

Network architectures

Computer simulations

Data processing

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