World Journal of Modelling and Simulation

Mobile agents are processes that can be dispatched from source computer and be transported to remote servers for execution, have been widely argued to be an important enabling technology for future systems. Location management is a necessity for locating mobile agents in a network of mobile agent hosts for controlling, monitoring and communication during processing and it still represents an open research issue. The cost of location management strategies mainly depends on the cost of search and update. We concentrated on reducing the cost of update and improving the speed of processing of the agents. We proposed two location management techniques; one is applicable for multi-region environment and other for single region environment. Technique for multi-region environment is named as Broadcasting with Search by Path Chase (BSPC), technique for single region is named as Multicasting and Movement based Location Management Technique (MMLMT). We used the tool TINA (TIme Petri net Analyzer) to model, analyze and to simulate both the techniques. It is found that the BSPC and MMLMT behave as expected and free from deadlock. We compared both the techniques with some existing location management techniques by evaluating the parameters-Location update fault rate, Interaction fault rate and Scalability.