Mils-Cloud: A Sensor-Cloud-Based Architecture for the Integration of Military Tri-Services Operations and Decision Making

Spatially distributed sensor nodes in wireless sensor networks (WSNs) can be used to monitor large unmanned areas. However, there are many limitations to WSNs, and the influence and accessibility of the sensors in these networks are limited to localized areas. Another popular technology today is cloud computing (CC). CC can provide a potent and scalable processing and storage infrastructure that can be used to perform the analysis of online as well as offline data streams provided by the sensors. It is possible to virtualize the sensor networks to provide these networks as a utility service. In this paper, we propose Mils-Cloud, which is a sensor-cloud architecture utilizing this infrastructure for developing architecture for the integration of military tri-services in a battlefield scenario. We propose a hierarchical architecture of sensor-cloud with users having different levels of priority. The results show that reserving about 20%-25% of resources actually boosts the performance of the system for priority users without compromising the availability for normal users.