Real-Time Traffic Management in Sensor Networks

Authors:
Kyriakos Karenos;Vana Kalogeraki
Affiliations:
University of California, Riverside, USA;University of California, Riverside, USA
Venue:
RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
Year:
2006

Citing 0
Cited 10

A Hop by Hop Rate Control Based QoS Management for Real Time Traffic in Wireless Sensor Networks

APNOMS '08 Proceedings of the 11th Asia-Pacific Symposium on Network Operations and Management: Challenges for Next Generation Network Operations and Service Management
Flow-Based Real-Time Communication in Multi-Channel Wireless Sensor Networks

EWSN '09 Proceedings of the 6th European Conference on Wireless Sensor Networks
Grid-based multi-path with congestion avoidance routing (GMCAR) protocol for wireless sensor networks

ICT'09 Proceedings of the 16th international conference on Telecommunications
Middleware for reliable real-time sensor data management

DBISP2P'05/06 Proceedings of the 2005/2006 international conference on Databases, information systems, and peer-to-peer computing
Performance evaluation of network coding and packet skipping in IEEE 802.15.4-based real-time wireless sensor networks

EWSN'11 Proceedings of the 8th European conference on Wireless sensor networks
MCRT: Multichannel Real-Time Communications in Wireless Sensor Networks

ACM Transactions on Sensor Networks (TOSN)
Exploiting overlapping channels for minimum power configuration in real-time sensor networks

EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
Minimum transmission power configuration in real-time sensor networks with overlapping channels

ACM Transactions on Sensor Networks (TOSN)
DutyCon: A dynamic duty-cycle control approach to end-to-end delay guarantees in wireless sensor networks

ACM Transactions on Sensor Networks (TOSN)
Sea depth measurement with restricted floating sensors

ACM Transactions on Embedded Computing Systems (TECS)

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this work we propose a traffic management mechanism to support real-time flows in highly unpredictable sensor network environments. The mechanism is based on a joint traffic regulation and end-to-end scheduling approach; a traffic regulation component adjusts the incoming packet rate to implicitly control the channel load and intelligently rejects packets that are more likely to miss their deadline while a laxity-based scheduling component projects the packets' per-hop delay and compensates for network endto- end delays. Thus, high success ratios without severely degrading the fidelity are achieved. Our mechanism attempts to maintain accuracy in a resource-efficient manner even under extremely unstable network conditions where delays are difficult to model and compute. Furthermore, the adoption of a component-based approach allows for substantial independence from both the MAC and routing layers. We thoroughly evaluate our mechanism and demonstrate its accuracy and performance merits.