Congestion Control and Routing Schemes for Wireless Sensor Networks

Abstract

Available congestion control schemes, for example transport control protocol (TCP), when applied to wireless networks, result in a large number of packet drops, unfair scenarios and low throughputs with a significant amount of wasted energy due to retransmissions. to fully utilize the hop by hop feedback information, a novel, decentralized, predictive congestion control method consisting of a) an adaptive flow and back-off interval selection scheme, b) adaptive scheduling, and c) energy aware routing, is proposed for wireless sensor networks in concert with distributed power control (DPC). Besides providing an energy efficient solution, the embedded channel estimator algorithm in DPC predicts the channel quality in the subsequent time interval. Additionally, due to the recursive application of the proposed congestion control at each node and through piggyback acknowledgments, the onset of congestion is propagated backward towards the source nodes so that they too reduce their transmission rates. the optional adaptive scheduling scheme at each node updates the packet weights to guarantee the weighted fairness during congestion. Finally, congestion-aware routing scheme is also added that addresses hardware constraints of the sensor nodes and overcomes local congestion by identifying a path, which is both energy efficient and minimal delay, around the congested nodes to the destination. Closed-loop stability of the proposed congestion control is demonstrated by using the Lyapunov-Based approach. Simulation results show that the proposed scheme results in fewer dropped packets, higher network efficiency and aggregate throughput, and smaller end-to-end delays over the other available schemes like Congestion Detection and Avoidance (CODA) [3] and IEEE 802.11 protocols. Additionally, experimental results show that the proposed load- balancing routing scheme improves overall throughout.

Department(s)

Electrical and Computer Engineering

Second Department

Computer Science

International Standard Book Number (ISBN)

978-160423792-4

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 University of Illinois at Urbana-Champaign, All rights reserved.

Publication Date

01 Jan 2006

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