Title
Low-Power, End-to-End Reliable Collection Using Glossy for Wireless Sensor Networks
Abstract
We present a design and evaluation of Choco, a low-power, end- to-end reliable collection protocol for wireless sensor networks. We construct Choco on Glossy, which is a recently presented efficient flooding scheme exploiting constructive-interference phenomena. Although Glossy is originally developed for flooding, it can be regarded as a networking primitive which provides low-power, low- delay, any-to-any communication reachability. In Choco, all packet transmissions are based on Glossy. A sink node explicitly schedules each node operation in a centralized and fine-grained manner with Glossy, and controls retransmission and power saving mode of each node. Each sensor node transmits data packets to the sink node with Glossy according to the request from the sink node. Although Choco is very simple mechanism, we reveal that Choco has considerable merits over current data collection protocols through two different testbed evaluations. Testbed evaluations demonstrate that Choco provides 14.7 times more energy-efficient collection than the state-of-the-art, while achieving end-to-end reliability for every node.
Year
DOI
Venue
2013
10.1109/VTCSpring.2013.6692624
Vehicular Technology Conference
Keywords
Field
DocType
data communication,protocols,telecommunication network reliability,wireless sensor networks,Choco,Glossy,any-to-any communication reachability,constructive-interference phenomena,data collection protocols,end-to-end reliability,energy-efficient collection,low-power end-to-end reliable collection protocol,networking,packet transmissions,power saving mode,sensor node,sink node,wireless sensor networks
Sensor node,Key distribution in wireless sensor networks,Retransmission,Computer science,End-to-end principle,Network packet,Testbed,Computer network,Real-time computing,Schedule,Wireless sensor network
Conference
ISSN
Citations 
PageRank 
1550-2252
10
0.63
References 
Authors
13
3
Name
Order
Citations
PageRank
Makoto Suzuki16714.19
Yasutaka Yamashita2141.18
Hiroyuki Morikawa343269.52