Name
Abstract | ||
|---|---|---|
In large scale wireless sensor networks, retransmission strategies are widely adopted to guarantee the reliability of multi-hop forwarding. However, keeping retransmission over a bursty link may fail consecutively. Moreover, the retransmission will also be useless over those back-up links which are spatial correlated with the failed link. Thus, it is necessary to design an unified retransmission strategy, which considers both temporal and spacial link properties, to further improve network reliability and efficiency. In this paper, we propose RxLayer, a practical and general supporting layer of data retransmission. Without inducing noticeable overhead, RxLayer captures the temporal and spatial link properties by conditional probability models. A sender will retransmit data over the candidate link with the highest delivery probability while failures occur. RxLayer can be transparently integrated with most of the existing forwarding protocols. We implement RxLayer and evaluate it on both indoor and outdoor testbeds. The results show that RxLayer improves networks reliability and energy efficiency in various scenarios. The network reliability is improved by up to 7.82%, and the total number of transmissions is reduced by up to 36.3%. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2632951.2632962 | MobiHoc |
Keywords | Field | DocType |
retransmission strategy,bursty link,link correlation,wireless communication,wireless sensor networks | Wireless,Conditional probability,Computer science,Retransmission,Efficient energy use,Communication source,Computer network,Reliability (computer networking),Wireless sensor network,Distributed computing | Conference |
Citations | PageRank | References |
5 | 0.41 | 21 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daibo Liu | 1 | 27 | 6.15 |
| Zhichao Cao | 2 | 172 | 23.04 |
| Jiliang Wang | 3 | 564 | 43.33 |
| mengshu hou | 4 | 105 | 15.74 |
| Yujun Li | 5 | 104 | 18.20 |