Robustness analysis of multi-sink placement in wireless sensor networks

Dan Sheng; Lin Ding

doi:10.1117/12.2684743

19 October 2023 Robustness analysis of multi-sink placement in wireless sensor networks

Dan Sheng, Lin Ding

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 1270926 (2023) https://doi.org/10.1117/12.2684743
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

Multi-sink wireless sensor networks are widely used because of their prominent advantages in extending network life and balancing energy. However, the current research on cascading failures of wireless sensor networks mainly focuses on the impacts of network topologies or routing schemes, and rarely involves the impacts of multi-sink placement. Therefore, this paper proposes a realistic multi-sink-oriented cascading model, in which a multi-oriented betweenness is designed to describe the load distribution of sensor nodes and wireless links considering sink nodes, and the overload dynamics of nodes and links are considered at the same time. On this basis, several topological metrics are considered to quantify the placement properties of sink nodes, and then how they affect the cascading robustness under node attacks and link attacks is investigated. Experimental results show that node attacks are more likely to trigger cascade failures. More importantly, no matter what kind of attack the network suffers, if sink nodes are placed as hubs, and these nodes are decentralized, the networks can better resist cascading failures.

Citation Download Citation

Dan Sheng and Lin Ding "Robustness analysis of multi-sink placement in wireless sensor networks", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 1270926 (19 October 2023); https://doi.org/10.1117/12.2684743

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