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Leakage in oil, gas, or water pipeline networks is a global concern; its impact has serious consequences on the ecosystem. Several solutions have been either proposed or in service for monitoring the pipeline networks. These proposals, however, are expensive, time-consuming, and most are intrusive which necessitate interrupting ongoing operations. The advances in sensing technologies made it possible to build affordable non-intrusive solutions. However, building a sensor network that is able to continuously monitor the pipeline, detect, and report any anomaly poses a number of challenges: node placement, energy saving, data flow, throughput, and just to mention a few. This paper presents an adaptive clustering algorithm for grouping and deploying multiple sensors along the whole pipeline. By using this algorithm, each group of sensors selects adaptively a cluster head, which aggregates the incoming …