Negotiation-based protocols for disseminating information in wireless sensor networks
Wireless Networks - Selected Papers from Mobicom'99
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
Power Efficient Topologies for Wireless Sensor Networks
ICPP '02 Proceedings of the 2001 International Conference on Parallel Processing
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
CODA: congestion detection and avoidance in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Congestion control and fairness for many-to-one routing in sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Event-to-sink reliable transport in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Congestion Avoidance Based on Lightweight Buffer Management in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
TARA: Topology-Aware Resource Adaptation to Alleviate Congestion in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Energy Balancing Routing Algorithms in Wireless Sensor Networks Connected as Grids
WASA '07 Proceedings of the International Conference on Wireless Algorithms,Systems and Applications
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
IEEE Communications Magazine
Upstream congestion control in wireless sensor networks through cross-layer optimization
IEEE Journal on Selected Areas in Communications
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Traffic congestion avoidance is a critical issue associated with data routing in Wireless Sensor Networks (WSNs). Previous researches employ either traffic or resource control strategies as solutions. In this paper, we propose an energy-efficient grid-based traffic congestion avoidance scheme in WSNs, termed as TALONet. With our mechanism, the approaches applied to avoid congestion have three folds: 1) we use two different transmission power levels to alleviate the link-level congestion (LLC); 2) we also employ an effective buffer management approach to avoid node-level congestion (NLC); and 3) based on virtual grid frameworks, a multi-path detouring technique is used to increase the channel capacity for the congested traffic flows. Extensive simulation results show that our proposed TALONet scheme is superior to other existing protocols. Comparing to TARA [11], Backpressure, and naïve (without congestion control) schemes, the improvement on the number of dropped packets can be achieved to about 45%, 51%, and 80%, respectively.