Resilient Data-Centric Storage in Wireless Sensor Networks

Wireless sensor networks make possible a range of applications that link numerous nodes to monitor and report dis tributed event occurrences. Examples include fields as diverse as climatic monitoring, tactical surveillance, and earthquake detection. When built with state-of-the-art technology, wireless sensors offer processing and storage capabilities that are significantly higher than the available bandwidth.1 The reason is limited battery life, which generally motivates developers to conserve energy by using low-power—and, consequently, low-bandwidth—wireless communication techniques. Comparing these high processing capabilities with high communication costs encourages system designers to leverage computational techniques that reduce the network’s total communication overhead.