The ever-increasing number of network-capable devices places a massive burden on modern networks. Communication infrastructure should provide quality-of-service essentials in terms of highbandwidth capacity, scalability, resiliency, and security. Programmable networks are viewed as the prevailing method of encountering the challenges introduced by the accelerated expansion. The ability of softwaredefined networking (SDN) to separate the control plane from the data plane and enable the programmability of the network creates new ways to architect the network. The centralization of control logic introduces complexities in large-scale, distributed networks such as performance bottlenecks and reliability. Distributed SDN controllers have been proposed to overcome the performance concerns. The lack of a communication standard among distributed controllers, referred to as the East/West interface, presents a challenge in the adoption of SDN in large-scale, distributed networks. In this paper, we propose Distributed SDN control plane Framework (DSF)-a framework for the East/West interface for heterogeneous, distributed SDN controllers to synchronize topologies using a standardized data-centric real-time publish/subscribe paradigm known as the Data Distribution Service (DDS). Distributed control plane architectures are proposed using DSF: flat, hierarchical, and T-model. The DSF interface is implemented on multiple SDN control plane platforms to evaluate performance: Floodlight and Open Network Operating System (ONOS) controllers. Test cases with different configurations are designed for performance evaluation of the proposed interface in homogeneous and heterogeneous SDN control planes. In addition, a performance comparison is presented of DSF-based ONOS controllers versus Atomix-based ONOS cluster solutions.

Application of Unmanned Aerial Vehicles (a.k.a. drones) is becoming more popular and their safety is becoming a serious concern. Due to high cost of top-end drones and requirements for secure landing, development of reliable drone recovery systems is a hot topic now. In this paper, we describe the development of a parachute system with fall detection based on accelerometer-gyroscope MPU – 6050 and fall detection algorithm based on the Kalman filter to reduce acceleration errors while drone is flying. We developed the compensation algorithm for temperature-related accelerometer errors. The parachute system tests were performed from a small height on a soft surface. Later, the system was tested under real-world conditions. The system functioned effectively, resulting in parachute activation times of less than 0.5s. We also discuss the civilian and military applications of the developed recovery system in harsh (high temperature) environment.

The population would reach ten billion by 2050, and experts believe that the agricultural sector needs to boost production by 70% to satisfy the demand. Traditional farming practices rely on primitive technology that creates a yield gap with low productivity. A paradigm shift towards merging new technologies in the agriculture sector would enhance productivity, optimize cost, and encourage sustainable development. In this paper, we review the necessity for the fusion of the Fourth Industrial Revolution technological approach in the agricultural domain. We discuss the gap in supply chain management for the Industrial sector and Agricultural sector and identify the issues of vendor-specific production systems. We propose a multimodal communication model for the systematic integration of multi-vendor agricultural production systems. Our model utilizes the Data Distribution Service (DDS) middleware to enable communication between heterogeneous production systems to perform farming operations in a coordinated manner. Experimental work is conducted on a small-scale hydroponic farm to evaluate the system performance in terms of throughput, latency, and packet delivery ratio (PDR). The throughput for our proposed DDS system has significantly improved with the use of the BATCH QoS policy for payload size less than 1024 bytes. However, we incur an average latency of approximately 235 microseconds for any payload size. The value of PDR is 1 for any payload size ensuring our system to be reliable. The results suggest that our model can enable interoperability between multi-vendor production systems in real-time while incurring minimum latency.

In this paper formation control of Unmanned Aerial Vehicle System (UAVs) is introduced. L 1 controller with potential field technique and Data Distribution Service (DDS) middleware used for the navigation of the agents, which is multi-UAVs. L1 adaptive controller used to stabilizing the general equations of motion of each UAVs and the potential field technique used to formalize the followers around the leader. The exchanging data between the leader and the followers done through publisher/subscriber DDS middleware. This L 1 controller has a high performance coming from a robust adaptation of it. Robustness of the L 1 controller verified using Matlab Simulation. The Lyapunov method provided the analysis and stability of the framework of UAVs.

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