Open Daylight Research Articles

Comparison of three common software-defined network controllers

<p>The software-defined network (SDN) controller adds and removes the contents of the flow table through secure channels to determine how packets are processed and how the flow table is managed. The controller pays attention to network intelligence and becomes the middle part, where the network manages the transfer data of the aircraft delivered via the OpenFlow (OF) switch. To this end, the controller provides an interface for managing, controlling, and managing this switch flow table. Run tests to calculate controller throughput and latency levels and test using the cbance tool, which can test transmission control protocol (TCP) and user datagram protocol (UDP) protocols. The tests are run by forcing the controller to run at maximum without any additional settings (default settings) in order to use the correct information about the controller’s capabilities. Because of this need, you need to test the performance of your controller. In this study, the tests were run on three popular controllers. Test results show that flowed controllers are more stable than open network operating dystem (ONOS) and open daylight (ODL) controllers in managing switch and host loads.</p>

TiO2–Ag–NP adhesive photocatalytic films able to disinfect living indoor spaces with a straightforward approach

TiO2–Ag doped nanoparticulate (TiO2–Ag–NP) adhesive photocatalytic films were used to assess the ability in dropping down the burden of indoor microbial particles. The application of an easy-to use photocatalytic adhesive film to cleanse indoor living spaces from microbial pollution, represents a novelty in the field of photocatalytic devices. Reduction was attained by photocatalysis in selected spaces, usually with overcrowding (≥ 3 individuals) in the common working daily hours, and upon indoor microclimate monitoring. TiO2–Ag doped nanoparticulate (TiO2–Ag–NP) adhesive photocatalytic films were applied within five types of living spaces, including schools and job places. The microbial pollution was assessed at time 0 (far from routine clean, ≥ 9 h) and throughout 2–4 weeks following the photocatalyst application by relative light unit (RLU) luminometry and microbial indirect assessment (colony forming units per cubic meter, CFU/m3). TiO2–Ag–NP photocatalyst reduced RLU and CFU/m3 by rates higher than 70% leading to RLU ≤ 20 and microbial presence ≤ 35 CFU/m3. The described TiO2–Ag–NP is able to reduce microbial pollution to the lowest RLU threshold (≤ 20) within 60 min in open daylight in a standardized test room of 100 m2. The correlation between RLU and CFU/m3 was positive (r = 0.5545, p < 0.05), assessing that the microbial reduction of indoor areas by the TiO2–Ag–NP adhesive film was real. Titania photocatalysts represent promising tools to ensure air cleaning and sanitization in living indoor microclimates with a low cost, feasible and straightforward approach. This approach represents an easy to handle, cost effective, feasible and efficacious approach to reduce microbial pollution in indoor spaces, by simply attaching a TiO2–Ag–NP adhesive film on the wall.

End-to-End Real-Time Service Provisioning Over a SDN-Controllable Analog mmWave Fiber -Wireless 5G X-Haul Network

The current work presents the first experimental demonstration of real-time Ethernet (ETH) trial services and 4K-Ultra High Definition (UHD) video application transmission over a 2λ Wavelength Division Multiplexing (WDM) analog Fiber-Wireless (FiWi) mmWave X-haul network, supporting dynamic flexible capacity allocation through an integrated silicon photonic Si <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> N <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> Reconfigurable Optical Add Drop Multiplexer (ROADM) and 60 GHz wireless transmission across a 7 m V-band link distance, while controlled by a Software Defined Network (SDN) controller based on Open Daylight. Analog X-haul transport of the radio signals is based on an Intermediate Frequency over Fiber (IFoF) scheme centered at 1.5 GHz using an Orthogonal Frequency Division Multiplexing (OFDM) radio-waveform with a bandwidth of 204 MHz, generated by a Field Programmable Gated Array (FPGA)-based RF System-on-Chip (SoC) processor that converts on-the-fly the real-time ETH downlink traffic to analog radio and vice-versa for the uplink. Dynamic allocation of the X-haul traffic capacity is handled through the use of the 802.1Q Virtual Local Area Network (VLAN) tag-mechanism, which controls the forwarding operation to the proper DAC and InP EML for optical modulation using Intensity Modulation/Direct Detection (IM/DD) schemes, while the wavelength routing operation is handled by the low-loss four-port Si <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> N <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> ROADM featuring only 2.5 dB fiber-to-fiber losses based on a cascaded MZI-interleaver design on the TriPleX platform, routing the real-time traffic to a second mmWave antenna site. Detailed measurements and traffic statistics indicate end-to-end latency of less than 260 μs and a packet loss less than 0.0054% across a dynamic range of at least 6.5 dB in the optical domain, while the high user bandwidth and signal quality are validated by an uninterrupted 4K-UHD video transmission across the FiWi X-haul mmWave transport network. The current work aims to shape a complete technology roadmap for Point-to-Multipoint FiWi transport network architectures with high spectral efficiency X-haul transport for dense areas and 5G/6G hotspots of future mmWave Centralized Radio Access Networks (C-RANs).

Detection Collision Flows in SDN Based 5G Using Machine Learning Algorithms

The rapid advancement of wireless communication is forming a hyper-connected 5G network in which billions of linked devices generate massive amounts of data. The traffic control and data forwarding functions are decoupled in software-defined networking (SDN) and allow the network to be programmable. Each switch in SDN keeps track of forwarding information in a flow table. The SDN switches must search the flow table for the flow rules that match the packets to handle the incoming packets. Due to the obvious vast quantity of data in data centres, the capacity of the flow table restricts the data plane’s forwarding capabilities. So, the SDN must handle traffic from across the whole network. The flow table depends on Ternary Content Addressable Memorable Memory (TCAM) for storing and a quick search of regulations; it is restricted in capacity owing to its elevated cost and energy consumption. Whenever the flow table is abused and overflowing, the usual regulations cannot be executed quickly. In this case, we consider low-rate flow table overflowing that causes collision flow rules to be installed and consumes excessive existing flow table capacity by delivering packets that don’t fit the flow table at a low rate. This study introduces machine learning techniques for detecting and categorizing low-rate collision flows table in SDN, using Feed Forward Neural Network (FFNN), K-Means, and Decision Tree (DT). We generate two network topologies, Fat Tree and Simple Tree Topologies, with the Mininet simulator and coupled to the OpenDayLight (ODL) controller. The efficiency and efficacy of the suggested algorithms are assessed using several assessment indicators such as success rate query, propagation delay, overall dropped packets, energy consumption, bandwidth usage, latency rate, and throughput. The findings showed that the suggested technique to tackle the flow table congestion problem minimizes the number of flows while retaining the statistical consistency of the 5G network. By putting the proposed flow method and checking whether a packet may move from point A to point B without breaking certain regulations, the evaluation tool examines every flow against a set of criteria. The FFNN with DT and K-means algorithms obtain accuracies of 96.29% and 97.51%, respectively, in the identification of collision flows, according to the experimental outcome when associated with existing methods from the literature.

Extensive performance analysis of OpenDayLight (ODL) and Open Network Operating System (ONOS) SDN controllers

The term Software Defined Network or SDN is one of the many emerging technologies that has been revolutionizing the concept of networking. By decoupling the Data and Control plane, it has lot to offer in the field of information technology. The Control Plane is regarded as the brain of the network, which is a centralized unit of SDN network along with the controller. Selection of SDN controller is one of the most important task in designing of SDN based Network. Through this paper, we intend to compare two eminent controllers: OpenDayLight and ONOS controllers, according to their efficacy. Mininet, which is meant for demonstrating the simulation of switching and end-devices, has been taken into account. Apart from this, we have used Wireshark Packet Analyser and iperf, which provides real-time traffic flow between Mininet and the Controller. Performance of the controller plays an important role in the network and answers question like how it is going to perform. There are the various factors that helps in evaluating the performance of SDN controller. After analysing, it has been found that ONOS has better performance, with respect to throughput, TCP Window Scaling, TCP/UDP Bandwidth, Burst Rate, Jitter, Goodput, TCP Stevens Graph, Round Trip Time (RTT), and its usability. This paper helps us to understand performance abilities between ONOS and ODL in medium-to-large scale SDN Networks.

Evaluation of the robustness of SDN controllers ONOS and ODL

Software-defined networking relies on a controller as its main element. Therefore, it is critical for the controller to present features that improve the overall network performance while ensuring continuity of service despite failures. OpenDayLight (ODL) and Open Network Operating System (ONOS) are two important open-source distributed controllers. The objective of this study is to evaluate how ODL and ONOS deal with different failure scenarios in both their data and control planes. In the data plane, the evaluation analyzes both link and switch failures and recovers, different flows in reactive and proactive modes. In the distributed control plane throughput and latency are considered when the number of switches and controllers increase, the time to synchronize the network operations among the controllers, the time for a master to recover from failure, and whether network operations are reinstalled after the failure of a master controller. Our evaluation shows that ONOS achieves better results than ODL in the data plane, and ODL surpasses ONOS in the experiments performed in the control plane.

A DDoS Vulnerability Analysis System against Distributed SDN Controllers in a Cloud Computing Environment

Software-Defined Networking (SDN) is now a well-established approach in 5G, Internet of Things (IoT) and Cloud Computing. The primary idea behind its immense popularity is the separation of its underlying intelligence from the data-carrying components like routers and switches. The intelligence of the SDN-based networks lies in the central point, popularly known as the SDN controller. It is the central control hub of the SDN-based network, which has full privileges and a global view over the entire network. Providing security to SDN controllers is one such important task. Whenever one wishes to implement SDN into their data center or network, they are required to provide the website to SDN controllers. Several attacks are becoming a hurdle in the exponential growth of SDN, and among all one such attack is a Distributed Denial of Service (DDoS) attack. In a couple of years, several new SDN controllers will be available. Among many, Open Networking Operating System (ONOS) and OpenDayLight (ODL) are two popular SDN controllers laying the foundation for many other controllers. These SDN controllers are now being used by numerous businesses, including Cisco, Juniper, IBM, Google, etc. In this paper, vulnerability analysis is carried out against DDoS attacks on the latest released versions of both ODL and ONOS SDN controllers in real-time cloud data centers. For this, we have considered distributed SDN controllers (located at different locations) on two different clouds (AWS and Azure). These controllers are connected through the Internet and work on different networks. DDoS attacks are bombarded on the distributed SDN controllers, and vulnerability is analyzed. It was observed with experimentation that, under five different scenarios (malicious traffic generated), ODL-3 node cluster controller had performed better than ONOS. In these five different scenarios, the amount of malicious traffic was incregradually increased. It also observed that, in terms of disk utilization, memory utilization, and CPU utilization, the ODL 3-node cluster was way ahead of the SDN controller.

A Comparative Study of Software Defined Networking Controllers Using Mininet

Software Defined Networking (SDN) is a relatively new networking architecture that has become the most widely discussed networking technology in recent years and the latest development in the field of developing digital networks, which aims to break down the traditional connection in the middle of the control surface and the infrastructure surface. The goal of this separation is to make resources more manageable, secure, and controllable. As a result, many controllers such as Beacon, Floodlight, Ryu, OpenDayLight (ODL), Open Network Operating System (ONOS), NOX, as well as Pox, have been developed. The selection of the finest-fit controller has evolved into an application-specific tool operation due to the large range of SDN applications and controllers. This paper discusses SDN, a new paradigm of networking in which the architecture transitions from a completely distributed form to a more centralized form and evaluates and contrasts the effects of various SDN controllers on SDN. This report examines some SDN controllers or the network’s “brains,” shows how they differ from one another, and compares them to see which is best overall. The presentation of SDN controllers such as Ryu, ODL, and others is compared by utilizing the Mininet simulation environment. In this study, we offer a variety of controllers before introducing the tools used in the paper: Mininet. Then, we run an experiment to show how to use ODL to establish a custom network topology on a Mininet. The experimental results show that the O controller, with its larger bandwidth and reduced latency, outperforms other controllers in all topologies (both the default topology and a custom topology with ODL).

Machine Learning Enabled Techniques for Protecting Wireless Sensor Networks by Estimating Attack Prevalence and Device Deployment Strategy for 5G Networks

A number of disadvantages of traditional networks may be attributed to the close relationship that exists between the control plane and the data plane inside proprietary hardware designs, as described above. The problem of security is one of the most difficult to deal with. There are a plethora of network hazards and attacks that might be encountered these days. DDoS attacks are one of the most popular and disruptive attacks on the internet today, and they affect a wide range of organisations. Despite a large number of traditional mitigation solutions now available, the frequency, volume, and intensity of distributed denial-of-service (DDoS) attacks continue to rise. According to the findings of this paper, a new network paradigm is necessary to satisfy the requirements of today’s complex security concerns. It was necessary to develop a software-defined network (SDN) in order to meet the real-time needs of the massive network that was expanding at an exponential rate. Many advantages of SDN exist, including simplicity of administration, scalability, and agility, but one of the most critical is security, which is one of the most important considerations when implementing SDN. SDS may be seen as a paradigm in which the implementation of new security regulations in the computer environment is performed via the use of protected software, which is described further below. The goal is to provide a flexible and extensible architecture for DDoS detection and prevention that is both flexible and extendable; the suggested clustering approach, which is based on the Open Day Light (ODL) Controller, is employed to carry out the experimental findings. In this section, we emphasise DDoS penetration techniques from a range of tools, and we evaluate the vulnerability against various tactics. It is necessary to use a Mininet emulation tool to construct a detection and prevention system against distributed denial of service (DDoS) attacks in order to achieve success. There is a range of other simulation tools that are utilised in conjunction with this research in order to bring it to a conclusion. Integration of industry standards such as SNORT and Flow has been accomplished in a variety of situations and parameter settings. During the creation of a framework capable of detecting and mitigating DDoS attacks at an early stage in both the control and application levels, the implementation of this framework has been shown to be crucial in the development of a framework.

A Comparative and Analytical Study for Choosing the Best Suited SDN Network Operating System for Cloud Data Center

The growing deployment of Software Defined Network (SDN) paradigm in the academic and commercial sectors resulted in many different Network Operating Systems (NOS). As a result, adopting the right NOS requires an analytical study of the available alternatives according to the target use case. This study aims to determine the best NOS according to the requirements of Cloud Data Center (CDC). This paper evaluates the specifications of the most common open-source NOSs. The studied features have been classified into two groups, i.e., non-functional features such as availability, scalability, ease of use, maturity, security and interoperability, and functional features, such as virtualization, fault verification and troubleshooting, packet forwarding techniques and traffic protection solutions. A Decision support system, Analytical Hierarchy Process (AHP) has been applied for assessing specifications of the inspected NOSs, namely, ONOS, Opendaylight (ODL), Floodlight, Ryu, POX and Tungsten. Our investigation revealed that ODL is the most suitable NOS for CDC compared to the rest studied NOSs. However, ODL and ONOS have almost similar scores compared to the rest NOSs.

ARES: A Framework for Management of Aging and Rejuvenation in Softwarized Networks

The recent trend of network softwarization suggests a radical shift in the implementation of traditional network intelligence. In Software Defined Networking (SDN), for instance, the control plane functions of forwarding devices are outsourced to the controller. Softwarized network components are expected to provide uninterrupted service during long periods of time, which makes them prone to the effects of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">software aging</i> , a phenomena that has been observed in operational software systems where the failure rate increases or the performance of the software degrades with the elapsed time since the last restart. The effects of software aging in operational networks are typically mitigated by <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">software rejuvenation</i> , i.e., planned restarts cleaning the internal system state in order to prevent or postpone aging-related failures. This article presents <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ARES</i> , a three-step methodological framework for the management of the effects of software aging in softwarized networks, applied to the case study of open source SDN orchestration platforms. Using ARES, we demonstrate that software aging is a systematic problem that cannot be neglected in network orchestration systems. It stems not only from aging-related bugs and natural aging due to fragmentation, but also from design choices, e.g., when implementing distributed systems. Measurements for Open Network Operating System (ONOS) and OpenDaylight (ODL) demonstrate how “simple” and common networking tasks let network performance degrade rapidly and even lead to crashes: for instance, adding and removing 300 intents per second in ONOS significantly increases the response time by 50% per day and depletes the memory at the rate of 18GB per day. Moreover, we demonstrate a first rejuvenation approach that can mitigate the effects of aging in ONOS.

Intrusion Detection System for Cloud Based Software-Defined Networks

Software-Defined Networks is a programmable network architecture for the cloud programmable control plane, decoupled from its data plane, offers new possibilities for creative security measures for overall visibility of the status network. This paper leverages these capabilities of SDN and presents the software-enabled Intrusion Detection System (IDS) architecture using the consideration of SDN. It combines the advantages of machine learning with IDS to ensure a high detection rate and protect the network from attacks. The Python script was utilized the Mininet emulator to create a virtual network. Also, it has been used as an Open Daylight software as an SDN controller hosted at a Google cloud. The proposed IDS uses a Grid Search technique with Support Vector Machine (SVM) to detect anomaly of attack. The proposed work was trained on UNSW-NB15 and NSL-KDD datasets. The results show that the proposed system offers a high detection rate. With the proposed machine learning model, the detection rate becomes more than 99.8 percent of accuracy. The results show positive progress in detecting almost all possible network attacks in the SDN-based cloud environment.

DASON: Dependability Assessment Framework for Imperfect Distributed SDN Implementations

In Software Defined Networking (SDN), network programmability is enabled through a logically centralized control plane. Production networks deploy multiple controllers for scalability and reliability reasons, which in turn rely on distributed consensus protocols to operate in a logically centralized manner. However, bugs in distributed control plane can have disastrous effects on the data plane, e.g., losing traffic by installing paths containing blackholes. In this paper we study the prevalence of issues in state-of-the-art distributed frameworks in SDN, by analyzing 500+ issues reported in two of the largest open source SDN controller platforms: Open Network Operating System (ONOS) and OpenDaylight (ODL), during the period between 2014-2019. We identify system vulnerabilities, localize dependability bottlenecks, and provide stochastic models for a holistic assessment of system dependability.

Performance Analysis and Evaluation of Software Defined Networking Controllers against Denial of Service Attacks

The Software defined networking (SDN) utilization within networking architecture represents a way of looking at how networks are configured, controlled, and operated. Managed services such as routing, load balancing, and security can be automated and centralized dynamically in SDN controllers. Controllers act as the centralized repository of policy and control instructions for the network that packets are transmitted through it. Any transmitted packets flooded from an attacker that intends to access the controller will result to Denial of Service (DoS) attack. Thus, this paper is devoted to simulate and examine the impact of DoS attack on the bandwidth of two different linked hosts (Server/client) by SDN controllers as POX, RYU, and Opendaylight (ODL) controllers. The network performance is tested and emulated by using different testing tools of simulation in Mininet such as Hping3, iperf, jperf, wireshark and miniedit. Also, the performances of the controllers against DoS attack proposed by different protocols using user datagram protocol (UDP) and transmission control protocol (TCP) which will be assess via OpenFlow switch.

An Improved Mechanism for SDN Flow Space to Control Oriented Authentication NAA Network

The Open Daylight platform with its power by working with IEEE 802.1X port level authentication for wired and wireless networks has been very supportive because of the massive deployments at mean charge for main design considerations. Within the current marketplace, 802.1X has flourished the ground works for wireless, wire stability, LAN stability and authentication methods. EAP (Extensible Authentication Protocol) supports long time protection of the supplicant and the authentication software till the end condition of the RADIUS (Remote Authentication Dial-In User Service) server is met. This paper is focused on the RAR (RADIUS Access Request) unique identification about the users on the network with SAA (Supplicant, Authenticator and Authentication server) system which records on the attribute cost of RFC 2865 according to the forwarding server. NAA (Non-Adaptive Algorithm) using FlowVisor based virtualization packages drive inward the network timescales or statistics, dynamically controlling the flow space of switches to control the speed and results in scaling of networks. NAA is an application level protocol that contains authentication and configuration information between a Network Access Server and a shared authentication server. It avoids the attacker from listening for requests and responses from the server and calculates the improved MD5 client secret key of the response.

Load and stress testing for SDN’s northbound API

In this work, we apply load and stress testing for well-known Software defined networking (SDN) controllers from an SDN application perspective. More precisely, we focus on the communication between the controller and SDN applications via the northbound Application programming interface (API). We apply proper load and stress testing plans, in order to correctly capture the behaviour of the controllers under consideration. Our load testing includes applying gradually increased workloads to find the throughput each controller can handle. Our stress test, on the other hand, builds upon the results of the load test and includes (1) measuring the API’s ability to handle extremely high workloads for a prolonged period of time and (2) directly attacking the underlying hosts of SDN network using Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks. We considered POX, Ryu, Floodlight, OpenDayLight (ODL) and Open Network Operating System (ONOS) SDN controllers. The experimental results showed that ONOS and ODL followed by Floodlight achieve the best throughput. Whereas POX and Ryu are characterized by lower throughput accompanied with partial and/or continuous failures during high workloads or DoS/DDoS attacks.

Evaluation and comparison of OpenDayLight and open networking operating system in software-defined networking

Software-defined networking (SDN) is a new way of transforming networks. It works on the principle of separating the infrastructure plane from the control plane. In the control plane, the centralized SDN controller acts as a brain of the network. Selecting the best SDN controller for the network is one of the most crucial tasks. In this paper, the experimental comparison between the two most powerful and popularly known SDN controllers on which many other SDN controllers are laid down their foundations i.e. OpenDayLight (ODL) and open networking operating system (ONOS) is performed. The experimentation is carried out on the Mininet emulation tool. Real-time packets are captured and analyzed using Wireshark. The results of the comparison concluded that the performance of the ODL controller is better than the ONOS in terms of burst rate, throughput, Round Trip Time (RTT) and bandwidth.

Experimental demonstration of 50 Gb/s (2 × 25 Gb/s) TDM/WDM PON over 64-way power split using O-band up/down transmission over 20 km with dynamic bandwidth allocation and SDN control

For the accommodation of mobile, business, and residential service in the same optical distribution network, we experimentally demonstrate 50 Gb/s (25 Gb/s × 2 wavelengths) wireless and wired service converged optical access network with 64-way power split over 20 km of single mode fiber in 1300 nm band. Applying simple Reed-Solomon based forward-error-correction and a cost-effective avalanche photodiode receiver without using an optical amplifier realize the 64-way power split. Accommodating dynamic bandwidth allocation and open interface control with OpenDaylight (ODL) controller via network configuration protocol (NETCONF) interface are demonstrated. Furthermore, error-free packet transmission of 50 Gb/s with low latency and guaranteed bandwidth are successfully demonstrated.

Design and Implementation of the Service-Aware Traffic Engineering (SATE) in the LISP Software- DefinedWireless Network (LISP-SDWN)

Software Defined Wireless Networks (SDWN) have been considered to have a feasible architecture that enables the fast deployment of new services and solutions in response to the explosion in the number of users and network traffic. Currently, the telecommunications sector is ensuring flexibility in network management and configuration. However, fluctuations in traffic are still beyond the control of SDWN providers. This paper suggests ways to manage fluctuations of traffic with service type. We propose the design of a service-aware network management service that achieves the maximum network utilization among heterogeneous Radio Access Networks (RANs) as a form of Traffic Engineering (TE). In this paper, we implement and test the Service-Aware Traffic Engineering (SATE) that distributes the network traffic to RANs according to the service type of traffic in the network layer. The traffic shift latency (e.g., from an LTE RAN to a Wi-Fi RAN) is considered as a performance metric that does not affect the end-to-end latency of some network applications (e.g., VoIP), and it is 3.51ms from our testbed. Therefore, it might not affect the end-to-end latency of the VoIP application in the telecommunications. SATE is implemented using OpenDaylight (ODL) and Ingress/Egress Tunneling Routers (xTRs) running on Vector Packet Processing (VPP).

Flexible network management and application service adaptability in software defined wireless sensor networks

The need for highly responsive and adaptable computing systems is essential in today’s network computing age. This is principally due to the drastic evolution in broad computing platforms operating at highly descriptive and abstracted mediums such as; reconfigurable computing systems, smart automation systems, cognitive and parallel programming systems which communicate using very complex resources or modes. Hence, such systems must incorporate the best forms of technologies to cater for the rapidly growing and heterogeneously connected platforms such as with Internet of Things (IoT). However, to effectively manage these network platforms with such high-end computing resources, requires a well-structured and carefully implemented systems. This work implements a Software Defined Wireless Sensor Network (SDWSN) approach coupled with Discrete Event Simulation (DES) and a highly extensible and scalable Software Defined Networking (SDN) controller–OpenDayLight (ODL), to implement a software-oriented network environment to increase network service adaptability and simplify network management. The implemented approach uses the ODL’s Model-Driven Service Abstraction Layer (MD-SAL) to facilitate the forwarding layer by applying state procedures to manage flow rules and introduce software-oriented network services. Experimental results indicate that in this approach, the traffic flow routing is significantly improved, with reduced transmission delays and that the underlying sensor nodes uses less energy since energy demanding tasks are performed on the controller.