Placement of virtual sensors in servers of cloud environment is one of the most important issues in resource management of sensor-cloud networks. Virtual sensors allocate resources of cloud servers to themselves, run different applications and use equivalent physical sensors. Selecting appropriate method for placement of virtual sensors on cloud servers has significant impact on resource management and energy consumption. Also, because of the real-time requirements of sensor-cloud networks, a traffic-aware placement is necessary to minimize delay in network and respond to user requests in the shortest possible time. Due to the unique characteristics of sensor-cloud networks, such as grouping virtual sensors and sharing them among different applications, a new method for traffic-aware placement and migration of virtual sensors in sensor-cloud networks is proposed. This approach tries to meet the needs of users and the quality of service expected by applications. Also resources of cloud servers are managed properly in this approach. The results of the simulation show an optimization in energy consumption and also reduction in the traffic costs and reduction in service level agreement violation.

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