Cost analysis of short message retransmissions

Sok Ian Sou; Yi Bing Lin; Chao Liang Luo

doi:10.1109/TMC.2009.104

Cost analysis of short message retransmissions

Sok Ian Sou, Yi Bing Lin, Chao Liang Luo

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Short Message Service (SMS) is the most popular mobile data service today. In Taiwan, a subscriber sends more than 200 short messages per year on average. The huge demand for SMS significantly increases network traffic, and it is essential that mobile operators should provide efficient SMS delivery mechanism. In this paper, we study the short message retransmission policies and derive some facts about these policies. Then, we propose an analytic model to investigate the short message retransmission performance. The analytic model is validated against simulation experiments. We also collect SMS statistics from a commercial mobile telecommunications network. Our study indicates that the performance trends for the analytic/simulation models and the measured data are consistent.

Original language	English
Article number	5066975
Pages (from-to)	215-225
Number of pages	11
Journal	IEEE Transactions on Mobile Computing
Volume	9
Issue number	2
DOIs	https://doi.org/10.1109/TMC.2009.104
Publication status	Published - 2010 Feb 1

All Science Journal Classification (ASJC) codes

Software
Computer Networks and Communications
Electrical and Electronic Engineering

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abstract = "Short Message Service (SMS) is the most popular mobile data service today. In Taiwan, a subscriber sends more than 200 short messages per year on average. The huge demand for SMS significantly increases network traffic, and it is essential that mobile operators should provide efficient SMS delivery mechanism. In this paper, we study the short message retransmission policies and derive some facts about these policies. Then, we propose an analytic model to investigate the short message retransmission performance. The analytic model is validated against simulation experiments. We also collect SMS statistics from a commercial mobile telecommunications network. Our study indicates that the performance trends for the analytic/simulation models and the measured data are consistent.",

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