Wireless Sensor Networks (WSNs) are being used extensively today in various domains. However, they are traditionally deployed with applications embedded in them which precludes their re-use for new applications. Nowadays, virtualization enables several applications on a same WSN by abstracting the physical resources (i.e. sensing capabilities) into logical ones. However, this comes at a cost, including an energy cost. It is therefore critical to ensure the efficient allocation of these resources. In this paper, we study the problem of assigning application sensing tasks to sensor devices, in virtualized WSNs. Our goal is to minimize the overall energy consumption resulting from the assignment. We focus on the static version of the problem and formulate it using Integer Linear Programming (ILP), while accounting for sensor nodes' available energy and virtualization overhead. We solve the problem over different scenarios and compare the obtained solution to the case of a traditional WSN, i.e. one with no support for virtualization. Our results show that significant energy can be saved when tasks are appropriately assigned in a WSN that supports virtualization.
Raee et al REF the static version of the integer linear programming is used for the purpose of the wireless virtualization to be deployed among numerous of application in solving the problems under different situations with minimized energy usage.
Energy Efficient Task Assignment in Virtualized Wireless Sensor Networks
2018 IEEE Symposium on Computers and Communications (ISCC)
2018 IEEE Symposium on Computers and Communications (ISCC)
Computer Science Engineering