Balancing Energy Consumption to Maximize Network Lifetime in Data-Gathering Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Feedback-based real-time streaming over WiMax
IEEE Wireless Communications
Rate-distortion optimized hybrid error control for real-time packetized video transmission
IEEE Transactions on Image Processing
Rate-distortion optimized layered coding with unequal error protection for robust Internet video
IEEE Transactions on Circuits and Systems for Video Technology
Proceedings of the 2011 ACM Symposium on Research in Applied Computation
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Lifetime is a crucial issue for Multi-hop wireless network powered by size-limited batteries. There have been few algorithms proposed to solve such network lifetime challenge. Furthermore, the application of flexible channel coding redundancy scheduling to improve energy-balancing and energy-efficiency has seldom been reported in literature. In this paper, we propose a new approach to achieve energy-balancing of Multi-hop wireless networks while meeting the requirement of Quality of Service (QoS) by optimizing channel coding rates. In the proposed approach, we develop a scheme to select the optimal channel coding rate on each hop to approach a lower bound of quality requirement while achieving the best effort energy-balancing. Given a certain channel situation, a higher channel coding rate is assigned to reduce the error rate with a higher energy cost; or a lower channel coding rate is assigned to improve energy efficiency and energy-balancing at the cost of reduced QoS. The simulation results have shown that the proposed approach can significantly improve energy-balancing and prolong network lifetime of Multi-hop wireless networks within the QoS requirements.