A novel architecture for locating missing objects using location of things

Locating physical objects is a highly relevant application addressed by numerous systems. Many of these systems have a drawback that, costly infrastructure must be installed before a significant physical area can be covered, i.e. before these systems may be used in practice. In this paper, a new architecture for indoor localization is built on the ubiquitous infrastructure using sensors for locating objects. Mobile nodes as well as static nodes equipped with sensors, naturally omnipresent in populated environments, are the main elements of this system. This paper describes, the design of object search system to be presented together with a set of simple heuristics which can be used for efficient object search. The proposed system can locate each of the physical items in our home, which may randomly change their location. The location of a mobile node is frequently changing and its co-ordinates will be calculated based on the static nodes near to it. The location updates are frequently broadcasted and therefore all nodes will get location updates of all other nodes and it is easy to find the missing items. This system can only be successfully deployed, if environment conditions such as the density of the participant and its mobility and system settings such as number of static sensors used, allows us to find an object rapidly and efficiently. We therefore demonstrate the practicability of our system and obtain suitable system parameters for its execution using simulations.