Paper Info
Title
QS-Sift: QoS and spatial correlation-based medium access control in wireless sensor networks
Abstract
Recently, it has been argued that allowing only a part of sensor nodes to transmit their data can reduce energy consumption dramatically. In this paper, we investigate the methods of selecting sensor nodes in-depth. Numerical results show that the transmission of poor sensed data (e.g. low SNR) is unnecessary because the contribution of poor data to the given maximum distortion Quality of Service (QoS) is very small if not negative. Based on this observation, we introduce the QS-Sift protocol, which ensure that nodes with good sensed data (e.g. high SNR) get higher priority than those with poor data when contending for the shared channel. And poor data has less chance to be delivered. All these processing are performed on each node without any centralised mechanism. Extensive simulations have been done to verify the effectiveness of the proposed schema in terms of energy consumption and transmission delay under given QoS constraints.
Year
DOI
Venue
2007
10.1504/IJSNET.2007.013203
IJSNET
Keywords
Field
DocType
high snr,energy consumption,sensor node,wireless sensor network,transmission delay,spatial correlation,qs-sift protocol,distortion,low snr,poor data,spatial correlation-based medium access,signal to noise ratio,energy efficient,medium access control,extensive simulation,quality of service,qos constraint,wireless sensor networks,centralised mechanism,mac,qos,simulation,energy efficiency,wireless networks
Wireless network,Efficient energy use,Computer science,Signal-to-noise ratio,Transmission delay,Computer network,Communication channel,Quality of service,Real-time computing,Wireless sensor network,Energy consumption
Journal
Volume
Issue
Citations 
2
3/4
7
PageRank 
References 
Authors
0.44
12
3
Name
Order
Citations
PageRank
Ming Zhao110511.60
Zhigang Chen227444.15
Zhihui Ge3164.09