Title
Opportunistic Concurrency: A MAC Protocol for Wireless Sensor Networks
Abstract
How to shorten the time for channel waiting is critical to avoid network contention. Traditional MAC protocols with CSMA often assume that a transmission must be deferred if the channel is busy, so they focus more on the optimization of serial transmission performance. Recent advances in physical layer, however, allows a receiver to reengage onto a stronger incoming signal from an ongoing transmission or interference, and thus shows the potential of parallel transmissions. Indeed, even if the channel is busy, a node has opportunities to carry out a successful transmission. In this study, we propose opportunistic concurrency (OPC), a new MAC layer scheme, which enables sensor nodes to capture the opportunistic concurrency and carry out parallel transmissions instead of always waiting for a clear channel. Based on local concurrency map, which encodes the interactions among different links, OPC utilizes concurrency control algorithm to make transmission decision distributedly. Our experiments on a testbed consisting of 60 TelosB sensor motes identify the transmission opportunities in WSNs with OPC. Evaluation results show that OPC achieves a 17 percent reduction in packet latency, a 9.4 percent addition in throughput and a 10 percent reduction in power consumption compared with existing approaches.
Year
DOI
Venue
2015
10.1109/TPDS.2014.2329307
Parallel and Distributed Systems, IEEE Transactions  
Keywords
Field
DocType
concurrent mac protocol,wireless sensor networks,interference,concurrent computing,opc,signal to noise ratio
Key distribution in wireless sensor networks,Concurrency control,Concurrency,Computer science,Communication channel,Computer network,Real-time computing,Physical layer,Throughput,Concurrent computing,Wireless sensor network,Distributed computing
Journal
Volume
Issue
ISSN
26
7
1045-9219
Citations 
PageRank 
References 
1
0.35
17
Authors
6
Name
Order
Citations
PageRank
Qiang Ma116714.03
Kebin Liu267335.77
Zhichao Cao317223.04
Tong Zhu4895.60
Xin Miao5503.55
Yunhao Liu68810486.66