Name
Abstract | ||
|---|---|---|
A Graph-based multi-hop cooperative MIMO transmission scheme (GM-MIMO) aimed at optimizing the network lifetime and saving energy for heterogeneous wireless sensor networks (WSN) is proposed. In GM-MIMO, clusters are established based on geographical position. Graph theory is applied to find an optimal forwarding path. For taking the presence of node heterogeneity into consideration, GM-MIMO obtains maximum network lifetime. Simulation results show that GM-MIMO makes a significant performance improvement in terms of network lifetime and survival rate of nodes. © 2013 Springer-Verlag. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-36252-1_22 | CWSN |
Keywords | Field | DocType |
cooperative mimo,energy efficiency,graph theory,heterogeneous,wsn | Graph theory,Cluster (physics),3G MIMO,Computer science,Efficient energy use,Computer network,Hop (networking),Wireless sensor network,Cooperative MIMO,Performance improvement | Conference |
Volume | Issue | ISSN |
334 CCIS | null | null |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhetao Li | 1 | 31 | 3.49 |
| Da Xie | 2 | 1 | 1.03 |
| Tingrui Pei | 3 | 46 | 14.75 |
| Young-June Choi | 4 | 311 | 32.48 |
| Renfa Li | 5 | 647 | 97.10 |