TY - JOUR
T1 - Cost analysis of short message retransmissions
AU - Sou, Sok Ian
AU - Lin, Yi Bing
AU - Luo, Chao Liang
N1 - Funding Information:
The authors would like to thank the editor and the anonymous reviewers. Their valuable comments have significantly improved the quality of this paper. Their efforts are highly appreciated. The work of S.-I. Sou was supported in part by the Taiwan National Science Council under Contract NSC 97-2218-E-006-020, and in part by the Chung Hwa Telecom project. The work of Y.-B. Lin was sponsored in part by NSC 97-2221-E-009-143-MY3, NSC 97-2219-E009-016, Far Eastone Telecom, Chung Hwa Telecom, ITRI/NCTU Joint Research Center, and MoE ATU.
PY - 2010/2
Y1 - 2010/2
N2 - 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.
AB - 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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U2 - 10.1109/TMC.2009.104
DO - 10.1109/TMC.2009.104
M3 - Article
AN - SCOPUS:73949142219
VL - 9
SP - 215
EP - 225
JO - IEEE Transactions on Mobile Computing
JF - IEEE Transactions on Mobile Computing
SN - 1536-1233
IS - 2
M1 - 5066975
ER -