Optimizing WSN lifetime based on a new centrality multi-criteria routing approach

Abstract

Wireless sensor networks are provided to be the key technology for Internet of Things and a medium between physical infrastructure, information and communication technologies. This requires a constantly growing necessity for efficient energy and resource management of overall sensor network, in order to guarantee a reliable and efficient infrastructure for IoT systems. Routing approaches, especially conceived for wireless sensor networks, diversify according to the application requirements, applied mechanisms and network topology. In this article, a new adaptive and dynamic multi-constraint routing approach is presented. This approach provides a routing mechanism, which create the routing tree based on the evaluation of many criteria. These criteria are combination of two parts; those presented the global aspect of network like the topological metrics (centrality measures, distances) of nodes and those who formed a field representing local metrics like estimated power consumption to reach each directly neighbour and residual energy of each node. These criteria are controlled and supervised dynamically through a detection scheme. In addition, a dynamic selection mechanism based on multi attribute decision-making (MADM) methods is implemented to build and update the routing tree. In response to changes in the network state, criteria and application-defined goals, the elect mechanism provides the best routing neighbour between each node and the Sink.