Distributed Source Coding in Wireless Sensor Networks
Proceedings of the Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks
Rate-adaptive codes for distributed source coding
Signal Processing - Special section: Distributed source coding
Energy-constrained modulation optimization
IEEE Transactions on Wireless Communications
Spectral efficiency in the wideband regime
IEEE Transactions on Information Theory
Distributed source coding using syndromes (DISCUS): design and construction
IEEE Transactions on Information Theory
An Adaptive Energy-aware Multi-path Routing Protocol with Load Balance for Wireless Sensor Networks
Wireless Personal Communications: An International Journal
Hierarchical Ring-Based Data Gathering for Dense Wireless Sensor Networks
Wireless Personal Communications: An International Journal
Energy model of SARA and its performance analysis
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
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Minimizing the sensor-node energy consumption is an important consideration when designing wireless sensor networks. In this paper, we focus on the energy consumption issues related to communication of data from correlated sensor nodes. An optimization algorithm is proposed for minimizing the overall energy consumption of the hardware and the physical link. We perform a detailed trade-off analysis of the circuit energy consumption, the transmission energy consumption, the transmission time, the modulation symbol size, and the channel coding rate, over a wide range of transmission distances and correlation values. Thus, a new optimized communication schedule with much lower energy consumption than our benchmark scheme of optimized uncorrelated uncoded transmission is obtained. Compared to this scheme, the total energy consumption may be reduced by more than 83.5% for a correlation value of 0.6 and a transmission distance of 100 m when using the results from the proposed optimization. This is significant with respect to increasing the lifetime of a wireless sensor network.