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The authors present a sophisticated framework to systematically explore the temporal correlation in environmental monitoring wireless sensor networks. The presented framework optimizes lossless data compression in communications given the resource constraint of sensor nodes. The insights and analyses obtained from the framework can directly lead to innovative and better design of data gathering protocols for wireless sensor networks operated in noisy environments to dramatically reduce the energy consumptions. It is anticipated that Wireless Sensor networks (WSNs) can fundamentally change today's practice of numerous scientific endeavors. Because wireless sensor nodes are typically battery-operated, and most environmental monitoring WSNs are deployed in harsh or even hostile environments, the replacement of batteries for sensor nodes is usually impossible.
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