Allocation algorithm for handling multiple applications in software-defined WSN

In this paper we consider the problem of hosting multiple applications in software-defined wireless sensor networks (SD-WSNs). The applications vary in terms of terms of the number and type of sensing tasks required. Since WSN nodes are very resource constrained, one of the major challenges when scheduling the sensing tasks is to balance the energy consumption and maximize the operational time of the network. In that regard, we propose a new task allocation strategy which exploits knowledge of the network routes and information about residual energy of sensor nodes in order to improve the system energy efficiency and resource utilization. Through simulations we have evaluated performance of the proposed algorithm and the impact of several parameters on its behaviour.