A socioecological model for advanced service discovery in machine-to-machine communication networks

Liu, Lu; Antonopoulos, Nick; Zheng, Minghui; Zhan, Yongzhao; Ding, Zhijun

Abstract

The new development of embedded systems has the potential to revolutionize our lives and will have a significant impact on future Internet of Thing (IoT) systems if required services can be automatically discovered and accessed at runtime in Machine-to-Machine (M2M) communication networks. It is a crucial task for devices to perform timely service discovery in a dynamic environment of IoTs. In this article, we propose a Socioecological Service Discovery (SESD) model for advanced service discovery in M2M communication networks. In the SESD network, each device can perform advanced service search to dynamically resolve complex enquires and autonomously support and co-operate with each other to quickly discover and self-configure any services available in M2M communication networks to deliver a real-time capability. The proposed model has been systematically evaluated and simulated in a dynamic M2M environment. The experiment results show that SESD can self-adapt and self-organize themselves in real time to generate higher flexibility and adaptability and achieve a better performance than the existing methods in terms of the number of discovered service and a better efficiency in terms of the number of discovered services per message.

Citation

Liu, L., Antonopoulos, N., Zheng, M., Zhan, Y., & Ding, Z. (2016). A socioecological model for advanced service discovery in machine-to-machine communication networks. ACM transactions on embedded computing systems, 15(2), Article 38. https://doi.org/10.1145/2811264

• Journal Article Type: Article
• Publication Date: 2016-03
• Deposit Date: Feb 12, 2019
• Journal: ACM Transactions on Embedded Computing Systems
• Print ISSN: 1539-9087
• Electronic ISSN: 1558-3465
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Volume: 15
• Issue: 2
• Article Number: 38
• DOI: https://doi.org/10.1145/2811264
• Keywords: Social-ecological model, Service discovery, Machine-to-machine communication networks,
• Public URL: http://researchrepository.napier.ac.uk/Output/1557080
• Additional Information: Special Issue on Innovative Design, Special Issue on MEMOCODE 2014 and Special Issue on M2M/IOT