Energy conscious deterministic self-healing new generation wireless sensor network: smart WSN using the Aatral framework

It is expected that in the next year, over a billion wireless sensor network (WSN) nodes will be deployed throughout the world, constituting a wide variety of sensor applications. In such a domain, management of the randomly distributed sensor networks is complicated by issues such as knowledge of energy consumption and coverage, extended lifetimes and demands for improved quality of service parameters. Several researchers have addressed these issues through their own innovations and discoveries of different schemes, methods, techniques or mathematical models and architectures or applications, using a variety of node designs. This in turn, has lead to multiple different choices of hardware and software options. However, this has not simplified the process of setting up application testbeds considering energy consumption. There is no readily available solution for setting up a WSN with user selected profiles and parameters. Multiple communication protocols, routing protocols, signal calibration and propagation methods, data aggregation schemes, clustering formations with multiple variations have been proposed for different research objectives. This paper proposes a method for consolidating all the initiatives and integrating these in a service panel framework that helps manage the desired WSN with options to set up an individual WSN profile and supporting the energy engineering processes involved in the WSN.