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Fine-Grained Task Distribution for Mobile Sensor Networks with Agent Cooperation Relationship

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Service-Oriented Computing (ICSOC 2020)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12571))

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Abstract

To enhance the comprehensive research on the distribution sensing tasks in Mobile Sensor Networks (MSNs) nowadays, we proposed Task Distribution algorithm based on Relationships of Agents (TDRA) in this paper. First, the score and feature factors of the mobile agents are considered comprehensively in the direct correlation model, and it constructs the correlation model by combining the direct and indirect correlation samples. Second, we introduce a Mobility Model based on the Exponential Distribution (MMED), and obtain the calculation method of probability parameter λ according to the analysis in this paper. At last, we integrate the constructed correlation model and mobility model; then, we apply to the algorithm of task distribution. By the experiments on the algorithms, it indicates that the proposed algorithm improves the performance of task distribution significantly, and offers a more accurate and reliable service.

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Acknowledgement

This work was supported in part by the National Natural Science Foundation of China (No, 61070169), Pre Research Fund (No, 61403120402), Natural Science Research Project of Jiangsu Higher Education Institution (19KJB520061), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Soochow University, Suzhou, 215006, China

    Yang Zhang, Ye Tao, Shukui Zhang, Li Zhang & Hao Long

  2. School of Information and Electrical Engineering, Xuzhou College of Industrial Technology, Xuzhou, 221002, China

    Hao Long

Authors
  1. Yang Zhang
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  2. Ye Tao
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  3. Shukui Zhang
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  4. Li Zhang
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  5. Hao Long
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Corresponding author

Correspondence to Shukui Zhang .

Editor information

Editors and Affiliations

  1. Zayed University, Dubai, United Arab Emirates

    Eleanna Kafeza

  2. University of New South Wales, Sydney, NSW, Australia

    Boualem Benatallah

  3. IIT National Research Council C.N.R., Pisa, Italy

    Fabio Martinelli

  4. Zayed University, Dubai, United Arab Emirates

    Hakim Hacid

  5. University of Sydney, Darlington, NSW, Australia

    Athman Bouguettaya

  6. Ernst & Young AI Lab, San Jose, CA, USA

    Hamid Motahari

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Zhang, Y., Tao, Y., Zhang, S., Zhang, L., Long, H. (2020). Fine-Grained Task Distribution for Mobile Sensor Networks with Agent Cooperation Relationship. In: Kafeza, E., Benatallah, B., Martinelli, F., Hacid, H., Bouguettaya, A., Motahari, H. (eds) Service-Oriented Computing. ICSOC 2020. Lecture Notes in Computer Science(), vol 12571. Springer, Cham. https://doi.org/10.1007/978-3-030-65310-1_28

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  • DOI: https://doi.org/10.1007/978-3-030-65310-1_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65309-5

  • Online ISBN: 978-3-030-65310-1

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