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Performance Analysis of Location-Aware Mobile Service Proxies for Reducing Network Cost in Personal Communication Systems

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Abstract

We propose and analyze mobile service management schemes based on location-aware proxies with the objective to reduce the network signaling and communication cost in future personal communication systems (PCS). Under these schemes, a mobile user uses personal proxies as intelligent client-side agents to communication with services engaged by the mobile user. A personal proxy cooperates with the underlying location management system so that it is location-aware and can optimally decide when and how often it should move with the roaming user. We show that, when given a set of model parameters characterizing the network and workload conditions, there exists an optimal proxy service area size for service handoffs such that the overall network signaling and communication cost for servicing location and service operations is minimized. We demonstrate via Petri net models that our proposed proxy-based mobile service management schemes outperform non-proxy-based schemes over a wide range of identified conditions. Further, when the mobile user is concurrently engaged in multiple services, the per-service proxy scheme that uses a separate proxy for each service outperforms the aggregate proxy scheme that uses a single proxy to interface with multiple services taking their aggregate service characteristics into consideration.

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Authors and Affiliations

  1. Department of Computer Science, Virginia Tech, Northern Virginia Center, 7054 Haycock Road, Falls Church, VA, 22043

    Baoshan Gu & Ing-Ray Chen

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  1. Baoshan Gu
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  2. Ing-Ray Chen
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Correspondence to Baoshan Gu.

Additional information

Baoshan Gu received the BS degree from University of Science and Technology of China, Hefei, China, in 1992 and the MS degree in computer science from Institute of Computing Technology, Chinese Academia of Science, Beijing, China, in 1995. From 1995 to 2000, he was a research and development engineer in Institute of Computing Technology, Chinese Academia of Science. He is currently pursuing his PhD degree in the Department of Computer Science, Virginia Tech, where he is a research assistant in the Systems and Software Engineering Laboratory. His research interests include next-generation wireless system architectures, design and evaluation of location and service management schemes in mobile computing environments, and mobile database systems.

Ing-Ray Chen received the BS degree from the National Taiwan University, Taipei, Taiwan, and the MS and PhD degrees in computer science from the University of Houston, Texas. He is currently an associate professor in the Department of Computer Science at Virginia Tech. His research interests include mobile computing, pervasive computing, multimedia, distributed systems, real-time intelligent systems, and reliability and performance analysis. Dr. Chen has served on the program committee of numerous conferences, including being as program chair of 14th IEEE International Conference on Tools with Artificial Intelligence in 2002, and 3rd IEEE Symposium on Application-Specific Systems and Software Engineering Technology in 2000. Dr. Chen currently serves as an Associate Editor for IEEE Transactions on Knowledge and Data Engineering, The Computer Journal, and International Journal on Artificial Intelligence Tools. He is a member of the IEEE/CS and ACM.

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Gu, B., Chen, IR. Performance Analysis of Location-Aware Mobile Service Proxies for Reducing Network Cost in Personal Communication Systems. Mobile Netw Appl 10, 453–463 (2005). https://doi.org/10.1007/s11036-005-1557-x

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  • DOI: https://doi.org/10.1007/s11036-005-1557-x

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