The impact of spatial correlation on routing with compression in wireless sensor networks

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An Energy-Efficient Data Collection Framework for Wireless Sensor Networks by Exploiting Spatiotemporal Correlation (2007, methodology): “To exploit the spatial correlation, we partition the sensor nodes with similar observations into a cluster.”
In-network aggregation techniques for wireless sensor networks: a survey (2007, background): “The authors in [27] propose a model to describe the spatial correlation in terms of joint entropy.”
Growth codes: maximizing sensor network data persistence (2006, background): “A local clustering scheme which is near-optimal across a range of spatial correlations is suggested in [32] although they ignore temporal correlations and losses in the network.”
For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid (2010, neutral): “loit directly the data structure and correlation among the sensor data to reduce the information ﬂows and to manage the rise in complexity of routing and processing data [77], [78], [79], [80], [81], [82]. In fact, eliminating queuing delays only may be insufﬁcient since the brute force solution of ”