ed for WSN. The proposed scheme works in two phases: Matrix Initialization and localization node selection. In the Matrix Initialization phase, SDN controller initializes the selection matrix such as if a node X; is within the communication range of agent node Xp value of matrix entry Sij is lotherwite it is . After initialization of selection matrix, SDN controller choose localization nodes that are used for the location estimation of the agent nodes which does not know its position. OPEN RESEARCH CHALLENGES The research works in the area of software-defined wireless sensor networks are in a budding stage and generally requires major efforts in modeling and evaluation of systems and also a standard specification for sensor Openflow design model for wireless sensor nodes. In addition, there are many inherent research challenges that should be addresses for SND paradigm based WSNs such as operating system for sensor nodes, evaluation and quantification of processing at the node and at the SDN controller. In order to highlight the design challenges of SDWSN, this section discussed some of the important challenges as follows: Internal Processing VS. Logically Centralized Controller Processing: For the SDN based WSN architecture; there is a trade-off between sensor node and logically centralized controllers in terms of processing load. Although, SDWSN pledges an enormous saving of node energy by transferring the Downloaded: 4/15/2022 9:44:49 AM Nova Southeastern University IP Address: 137.52.76.29 Software-Defined Networking Paradigm in Wireless Sensor Networks most of the decision logic to the controllers, the degree of this claim must be evaluated and verified by the application of the standard protocols. In addition, in-network processing i.e. data aggregation of the different sensors requires closer research attention. Duty Cycling: In order to lessen the redundant transmission of sensor readings and to save the node energy, SDN paradigm based sensor node must support duty cycling. In duty cycling, each node turn