Real time read-frequency optimization for railway monitoring system

Trains have a key role in transporting people and goods with the option of moving from source to destinations by passing through several stations, time-based features like date scheduling known arrival times, which makes time critical factor. The main challenge here, is ensure that train trip or schedules are not affected delayed any way during whole trip; giving control unit railway system, required process requests regarding all collected data. This an NP-hard problem optimal solution handling data service system. Operational research will be used solve this developing many heuristics deal tasks real-time systems, produce significant optimization systems. To problem, proposed approach employs adapting 22 based on two categories algorithms, separated blocks category algorithm interference algorithm. receives different sources at same time, then collects received save it base system unit. Experimental results showed effectiveness developed heuristics, more over minimized maximum completion was elapsed requests.