2011
DOI: 10.5402/2011/943504
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Reliable, Real-Time Routing in Wireless Sensor and Actuator Networks

Abstract: We present a novel Reliable, Real-time Routing protocol (3R) based on multipath routing for highly time-constrained Wireless Sensor and Actuator Networks (WSANs). The protocol consists of a newly designed routing metric and a routing algorithm utilizing this metric. Our routing metric enables strong Quality-of-Service (QoS) support based on parallel transmissions which significantly reduces transmission delays in WSANs. A routing algorithm utilizing this metric is presented based on Dijkstra's shortest path. A… Show more

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Cited by 10 publications
(4 citation statements)
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References 18 publications
(22 reference statements)
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“…Previous sensor networks that did not implement end-to-end reliability exhibited data yield of 20 ∼ 60% [18], [19] and thus fail to meet the requirements of gas leak monitoring. Reliable collection protocols [20]- [22] employ local data caching and end-to-end retransmissions to improve data yields. Most of the reliable collection protocols aim to energy efficiency rather than low latency [21]- [23], whereas SPEED [24] focuses on real time without considering reliability.…”
Section: Related Workmentioning
confidence: 99%
“…Previous sensor networks that did not implement end-to-end reliability exhibited data yield of 20 ∼ 60% [18], [19] and thus fail to meet the requirements of gas leak monitoring. Reliable collection protocols [20]- [22] employ local data caching and end-to-end retransmissions to improve data yields. Most of the reliable collection protocols aim to energy efficiency rather than low latency [21]- [23], whereas SPEED [24] focuses on real time without considering reliability.…”
Section: Related Workmentioning
confidence: 99%
“…The above approaches discussed and routing protocol introduced in [14,15,16] used of fixed metrics and mathematical modeling for finding routing metrics.…”
Section: Related Workmentioning
confidence: 99%
“…This feature allows transmission in real-time or nearreal-time because the time for reconfiguration is less than 30 ms. Additional 15 ms are necessary for the sensor to wake up and another 15 ms for the channel access. Practical applications show that these time intervals are up to 10 times bigger [9,21,22]. The channel capacity is usually up to 100 kbps.…”
Section: State Of the Artmentioning
confidence: 99%