In light of the increasing and pressing need to efficiently manage scarce water resources, there has been renewed interest by water distribution network owners to develop and implement water management strategies and tools that would assist in the integrated and automated management of those networks. Such asset management strategies should assist the network owners to evaluate the condition of the water distribution network, assess historical incident data (leakage or breakage) and risk of failure, visualise areas of high risk, propose “repair or replace” strategies and prioritise the work based on the inherent risk and cost of action. The methodology and support system outlined in this paper can form an integral part of a leakage management strategy and provide a useful decision-making tool. The work presented outlines an integrated methodology and a decision support system for arriving at such “repair-or-replace” decisions, as part of a long-term pipeline asset management program that could be undertaken by a water utility to improve on the reliability of the water distribution networks.

Wireless sensor networks (WSNs) have emerged in strategic applications such as target detection, localization, and tracking in battlefields, where the large-scale nature renders centralized control prohibitive. In addition, the finite batteries in sensor nodes demand energy-aware network control. In this paper, we propose an energy-efficient topology management model that allows clustered nodes to act upon imminent targets in a purely distributed and autonomous fashion, which is inspired by the biological inter-cell lateral induction models. In particular, nodes in the target vicinity collaborate to form clusters based on their relative observation quality values. The energy efficiency of the proposed approach is examined against reference protocols.

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