A Probability Model in Random Access Process for Intelligent Monitoring
It is the growing trend to use cellular mobile communication network as public platform for data transmission collected by sensors, which is a typical application of information technology in other industries.Due to the large number of sensors, inadequate access resources are the main bottlenecks that restrict the application of cellular mobile technology in this situation.This paper analyzes the random access of senor nodes in the TD-SCDMA network.We deal with the number of nodes that initiate the random access, collision probability and the average successful access probability.In addition, taking into account the influences of collision users and backoff ones on the system service rate and arrival rate, we construct the M5/G/1 queuing model that depicts the batch arrival of users and the average access delay of sensor nodes.The comparison of performance parameters between practical scenes and our models validates the feasibility and accuracy of our models in describing the random access process under the scenarios of intelligent monitoring, and this makes it effective in the random access design.
Intelligent monitoring Mobile communication Probability theory Queuing theory modeling
Tianrun Gao
Beijing Information Science & Technology University, Beijing, China
国际会议
三亚
英文
126-133
2015-12-26（万方平台首次上网日期，不代表论文的发表时间）