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This paper presents a data aggregation and forwarding framework in wireless sensor networks (WSNs) that will help in reducing energy consumption and hence prolong network lifetime. This approach is based on the fact that WSNs usually contain a large number of sensor nodes typically with highly correlated data readings. The proposal is to deploy distributed source coding (DSC) in compressing data messages...
We study the performance of distributed source coding in large wireless sensor networks obtained with enhanced correlation estimators. Distributed source coding is especially useful when data correlation exists since it tries to remove the redundancy in the information; and dense sensor networks are rich in correlations. Existing results from information theory show that this compression can be executed...
Energy conservation in wireless sensor networks (WSNs) is the primary performance parameter, because of their limited energy resources. Thus, some energy saving technologies should be applied. One of these technologies for WSNs is distributed source coding (DSC), related to correlation between sensor outputs. In this paper, we propose to apply multirate distributed source coding to reduce energy consumption...
In this paper, we investigate the cross-layer design of medium access control (MAC) protocols and distributed source coding (DSC). We closely model the interaction between the source compression and the medium access control layer for sensor network applications and determine the parameters that are most relevant to both the layers. Specifically, we exploit the spatio-temporal redundancy in the measurements...
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