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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sujie Shao Shaoyong Guo Xuesong Qiu Luoming Meng Cheng Zhong |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Commun. Manage., State Grid Hebei Electr. Power Co. of China, Shijiazhuang, China (Cheng Zhong) || State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China (Sujie Shao; Shaoyong Guo; Xuesong Qiu; Luoming Meng) |
| Abstract | Because of the advantages of multi-hop communication, self-organizing, self-healing and reliability, wireless mesh network becomes an ideal choice for data collection. However, wireless mesh network for data collection faces challenge on communication performance of network caused by application layer data traffic. When a large number of data occurs in emergence, some mesh nodes (the last hop nodes) which are in pivotal location will face great communication pressure and probably lead to extremely data congestion, especially in smart grid. For the idea of load balancing, this paper proposes a new random switching traffic scheduling algorithm based on data collection tree. Simulation data show that the new algorithm can create a balanced data collection tree, significantly reduce the packet loss ratio of the burst data and release congestion of system. |
| Sponsorship | IEICE ICM |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 370160 |
| Page Count | 4 |
| File Format | |
| ISBN | 9784885522888 |
| DOI | 10.1109/APNOMS.2014.6996531 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-17 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Traffic scheduling Scheduling algorithms Packet loss Switches Telecommunication traffic Data collection Random switching Wireless mesh network |
| Content Type | Text |
| Resource Type | Article |
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