ABSTRACT
In this chapter, the authors explore the high communication demands found in the harsh underground environment of smart water grids. It focuses on three directions: hardware communication infrastructures based on long-range low-power technologies, data reduction techniques involving lossless compression and compressive sensing, and edge processing incorporation coupling with big data offline algorithms. However, more than 97% of water network assets are away from power and are often in geographically remote underpopulated areas: facts that make current approaches unsuitable for next generation dynamic adaptive water networks. Smart water grids ideally consist of low power, inexpensive sensor nodes, which are responsible for retrieving data from one or more sensors, make computations, store data in local memory, and send them to the network. It provides a variety of data reduction techniques that minimize the energy consumption over wireless sensor networks and can be applied to smart water grids.
