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RETRACTED ARTICLE: Quality analysis of multi-sensor intrusion detection node deployment in homogeneous wireless sensor networks

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This article was retracted on 14 February 2024

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Abstract

In this paper, an algorithm is proposed to optimize the network connectivity efficiency of a network with nodes of different energy harvesting rates by using the fewest RNs while ensuring a high success rate of data transmission. The algorithm calculates the weight of each node based on the energy harvesting capacity and then uses it to calculate the edge weight. Next, based on the edge weight, the Kruskal algorithm is used to create a minimum spanning tree (MST). Finally, the quantity of non-leaf nodes of the MST is inspected to verify that it meets the transmission requirements for data flow. If not, such nodes will be deemed as nodes with a low energy capacity. The support of RNs is required for these nodes to guarantee network connectivity. As shown by experimental data, the algorithm can be used to maintain network connectivity with the fewest RNs, which reduces the cost and increases the transmission success rate of data packages.

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Acknowledgements

Funding was received from the National Natural Foundation of China under Grant No. 60673185 and from the Jiangsu Future Network Prospective Research Fund Project (BY2013095-4-09).

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Authors and Affiliations

  1. School of Computer Science and Technology, Nanjing Technology University, Nanjing City, 211800, Jiangsu Province, China

    Li Weizheng

  2. ZTE Nanjing R&D Center, Nanjing City, 210012, Jiangsu Province, China

    Tu Xiumei

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  1. Li Weizheng
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  2. Tu Xiumei
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Correspondence to Li Weizheng.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s11227-024-05972-7"

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Weizheng, L., Xiumei, T. RETRACTED ARTICLE: Quality analysis of multi-sensor intrusion detection node deployment in homogeneous wireless sensor networks. J Supercomput 76, 1331–1341 (2020). https://doi.org/10.1007/s11227-018-2574-4

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  • DOI: https://doi.org/10.1007/s11227-018-2574-4

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