An optimal algorithm for the flexible maneuverability in smart sensor networks (SSNs)

Sensors and actuators are being extensively used these days across industry verticals for a variety of reasons. With a number of delectable advancements in network topologies and communication technologies, novel types of sensors networks are being formed according to the business requirements. Smart sensors are capable of crafting ad hoc networks for accomplishing specified tasks. The direct fallout of these improvisations is the possibility and sustainability of smarter environments. For examples, nowadays there are a lot of happenings around the concepts of smarter homes, offices, cities, governments, healthcare etc. Smarter services are being realized with the help of smarter sensors and their networks. However one of the impending challenges is the network path optimization. There are several methods and mechanisms in place for optimizing network path identification. However, with the emergence of smarter environments, the current approaches need to improve significantly. In this paper, we have taken up the tried, tested and trusted Dijkstra algorithm and come out with a much-improved algorithm for realizing the much-anticipated flexibility and maneuverability in network path identification and optimization. This newly crafted algorithm goes a long way in conceptualizing and concretizing a variety of newer applications while ensuring the principal non-functional requirements such as energy efficiency, extensibility, etc.