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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaolong Li Jun Cai Hongbin Chen Hong Zhang |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Inf. & Commun., Guilin Univ. of Electron. Technol., Guilin, China (Hongbin Chen) || Dept. of Electron. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada (Jun Cai; Hong Zhang) || Sch. of Comput. Sci. & Eng., Guilin Univ. of Electron. Technol., Guilin, China (Xiaolong Li) |
| Abstract | Due to potential heterogeneity in criticality of sensing data, machine-to-machine (M2M) networks are required to provide multi-level connectivity to the sink for device nodes. In this paper, topology control is discussed for M2M networks consisting of two different types of device nodes, called supernodes and ordinary nodes. Supernodes are required to have k node-disjoint paths to the sink while ordinary nodes to have at least one path. Inspired by the underlying good characteristics of a special hierarchical topology, a tree-like distributed topology control algorithm (TLDTCA) is proposed. To the best of our knowledge, this is the first work in literature to address distributed topology control for M2M networks. Simulation results demonstrate the effectiveness of the proposed algorithm in terms of success rate and total network power consumption. |
| Sponsorship | IEEE Commun. Soc. |
| Starting Page | 4459 |
| Ending Page | 4464 |
| File Size | 174161 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479913534 |
| DOI | 10.1109/GLOCOMW.2013.6855653 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Topology Network topology Power demand Routing Algorithm design and analysis Wireless communication Time complexity distributed algorithm M2M networks topology control heterogeneous connectivity |
| Content Type | Text |
| Resource Type | Article |
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