Name
Abstract | ||
|---|---|---|
Virtual multi-input-multi-output (or vMIMO) communication is a promising technology to improve the spatial diversity of wireless networks. Using this mechanism, multiple single-antenna nodes can coordinate their transmissions and receptions so as to reduce power consumption. This paper studies the problem of constructing an energy-efficient topology in wireless sensor networks using vMIMO communication. We first define the problem involving joint optimization of vMIMO, partner selection and topology control. As this problem is NP-Complete, a distributed and heuristic algorithm, called vMIMO topology control (VMTC), is proposed to solve this problem. The algorithm uses an improved binary searching method to obtain an initial power assignment. A local competition method is then adopted to implement the partner selection. At last, we reduce the power consumption of each node by using efficient vMIMO modes. Our theoretical analysis show that this algorithm can achieve an approximate performance of O(1). Our simulations show that VMTC helps to decrease the power consumptions by about 32% compared to the existing algorithms. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TWC.2013.110413.130444 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
topology control,virtual multiinput-multioutput communication,spatial diversity,diversity reception,distributed algorithm,vmimo communication,energy-efficient topology,heuristic algorithm,telecommunication network topology,virtual mimo,computational complexity,mimo communication,improved binary searching method,np-complete algorithm,local competition method,wireless sensor networks,vmtc,vmimo topology control,energy efficiency,multiple-single-antenna nodes,power consumption reduction,mimo,topology,network topology,wireless communication | Wireless network,Key distribution in wireless sensor networks,Antenna diversity,Topology control,Heuristic (computer science),Computer science,Computer network,Wireless sensor network,Distributed computing,Binary number,Computational complexity theory | Journal |
Volume | Issue | ISSN |
12 | 12 | 1536-1276 |
Citations | PageRank | References |
4 | 0.43 | 16 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongli Xu | 1 | 502 | 85.92 |
| Liusheng Huang | 2 | 24 | 2.19 |
| Chunming Qiao | 3 | 3971 | 400.49 |
| Xinglong Wang | 4 | 57 | 6.80 |
| Yu-e Sun | 5 | 33 | 7.07 |