A flow-aware placement of mobile agent control network over opportunistic networks

Abstract

Transmitting data on an opportunistic network is much more difficult than that on a conventional network. We propose to use mobile agent to enhance its message transfer efficiency. A mobile agent platform requires a search mechanism to control its agents. We investigated the application of mobile agent on the opportunistic network characterized by CenWits Search and Rescue System applied in YuShan National Park as well as proposed a control network technology to support rapid agent search. This paper enhances our previous control network placement models by taking into account the amount of agent flows. After proving it to be NP-hard, we designed a simple but efficient heuristic algorithms to solve the placement problem. In our simulation study, the new model outperforms our previous models easily. © Springer-Verlag Berlin Heidelberg 2013.