Abstract Location Updating Strategies in Moving Object Databases

com Recent advances in wireless, communication systems have led to important new applications of Moving object databases (MOD). Typical application examples of moving object databases (MOD) might include mobile computing, mobile E-Commerce, Traffic police, taxi dispatchers and weather reporting services. The mobile computing capabilities allow users to manage their work while they are moving. In order to manage such moving objects in database management systems (DBMS) an updating strategy for moving object is required. In the literature there are many location updating polices. The dead-reckoning policy is the most common updating strategy for moving object. This policy can be divided into two major classes, namely the plain dead-reckoning (pdr) and adaptive dead-reckoning (adr). In this paper the problem of maintaining the current location of moving object in databases and the required updating strategy for moving object will be investigated. An implementation of deviation updating strategy will be introduced. This implementation is based on the generation of spatial-temporal data for the moving objects (e.g. cars).Where the moving objects are moving through a network street. Finally a complete comparison of the predicted moving object path and the actual path is given