Scheduling job families on non-identical parallel machines with time constraints
Proceedings of the Winter Simulation Conference
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Recent research has provided means by which wireless sensor network with dynamic deadlines can take advantage of mobile agents for the purpose of data gathering. Already some work has been done in this direction in case of networks which are ‘static’ i.e., whose topology remains same once mobile agent starts its tour. This paper proposes a technique which makes mobile agent ‘intelligent’ enough to learn ‘dynamic’ changes in network topology as and when they occur, like new node getting added to network or existing node going down while taking care of dynamic deadlines of nodes. Also, we give analysis of results of applying the proposed technique on a simple real time wireless sensor network model with dynamic deadlines. Finally, paper will be concluded with mentioning of future directions of research.