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Lecture Notes in Computer Science
In wireless sensor networks, data aggregation is critical to network lifetime. It implies that data will be processed in an efficient flow from multiple sources to a specific node named sink. However, there are trade-offs for fusing multisensor data and creating a path between source and sink that increase the likelihood of aggregation. In this work, we propose a decentralized mechanism using parametric-based techniques, such as Bayesian Inference and Dempster-Shafer Method, for datadoi:10.1007/978-3-540-30199-8_20 fatcat:e2xhvksanvadhprotozwr4slbi