Designing Internet of Things (IoT) applications faces many challenges including security, massive traffic, high availability, high reliability and energy constraints. Recent distributed computing paradigms, such as Fog and multi-access edge computing (MEC), software-defined networking (SDN), network virtualization and blockchain can be exploited in IoT networks, either combined or individually, to overcome the aforementioned challenges while maintaining system performance. In this paper, we present a framework for IoT that employs an edge computing layer of Fog nodes controlled and managed by an SDN network to achieve high reliability and availability for latency-sensitive IoT applications. The SDN network is equipped with distributed controllers and distributed resource constrained OpenFlow switches. Blockchain is used to ensure decentralization in a trustful manner. Additionally, a data offloading algorithm is developed to allocate various processing and computing tasks to the OpenFlow switches based on their current workload. Moreover, a traffic model is proposed to model and analyze the traffic indifferent parts of the network. The proposed algorithm is evaluated in simulation and in a testbed. Experimental results show that the proposed framework achieves higher efficiency in terms of latency and resource utilization.

Vehicular ad hoc networks (VANETs) are a recent class of peer-to-peer wireless networks that are used to organize the communication and interaction between cars (V2V), between cars and infrastructure (V2I), and between cars and other types of nodes (V2X). These networks are based on the dedicated short-range communication (DSRC) IEEE 802.11 standards and are mainly intended to organize the exchange of various types of messages, mainly emergency ones, to prevent road accidents, alert when a road accident occurs, or control the priority of the roadway. Initially, it was assumed that cars would only interact with each other, but later, with the advent of the concept of the Internet of things (IoT), interactions with surrounding devices became a demand. However, there are many challenges associated with the interaction of vehicles and the interaction with the road infrastructure. Among the main challenge is the high density and the dramatic increase of the vehicles’ traffic. To this end, this work provides a novel system based on mobile edge computing (MEC) to solve the problem of high traffic density and provides and offloading path to vehicle’s traffic. The proposed system also reduces the total latency of data communicated between vehicles and stationary roadside units (RSUs). Moreover, a latency-aware offloading algorithm is developed for managing and controlling data offloading from vehicles to edge servers. The system was simulated over a reliable environment for performance evaluation, and a real experiment was conducted to validate the proposed system and the developed offloading method.

Vehicular ad-hoc network (VANET) is an advanced mobile wireless network. The escalation of equipped vehicles on the road grabs the attention of researchers and is constantly striving to take it further. This type of wireless network infrastructure helps to establish communication between vehicles. Roadside units, sensors, and vehicular nodes are the critical components of our work to protect the vehicular network. This research is focused on detecting and preventing fake vehicular nodes and their messages by applying fake node detection and prevention algorithms and counterfeit message detection and prevention algorithms. In our proposed approach, the fake node detection and prevention algorithms check the node profile after establishing the mesh structure. If the profile attribute named "Pen/Rew" satisfies the condition that should be less than or equal to a threshold value (zero), the fake message detection and prevention process starts. The message will be accepted once the situation is satisfied; otherwise, it is declared fake. We utilized ONE (opportunistic network environment) simulator to generate node movement models, route messages between nodes, and visualize mobility and messaging passing in real time. The results indicated that our proposed work perfectly detects and prevents fake nodes and messages.

The main purpose of this article is to test IoT management system based on SDN core network, as well as interaction IoT traffic with SDN-switches. To conduct investigation of management system and network infrastructure behavior we carried out several IoT traffic tests, which were generated based on partnership project oneM2M specification. In this work, we considered “Smart city” model for Central district of Saint-Petersburg (Russia). During the testing of the network infrastructure were identified several parameters such as number of simultaneously supported sessions by the Mikrotik switch using different transport protocols, was proposed a recommendation for dynamically changing virtual buffers. During the testing of the IoT management system, we define reliability of IoT data management service for determined equipment in traffic conditions of the “Smart City”. Also, we estimate relationship between RTT parameter using various IoT protocols and heterogeneous traffic in conjunction with “Smart city” segment in SDN network. In order to investigate the influence of the SDN network on the RTT traffic parameter of a large number of IoT and the condition of its transmission in conjunction with heterogeneous traffic in the network, a full-scale experiment was conducted on the developed model, which in turn reflected a possible distribution scheme of a certain monitoring and control system for the Central District Saint-Petersburg. The aim of the study is also to consider the possibility of implementing the IoT data management service as a central management system for monitoring urban ecological parameters in a dense buildings environment.

The future Internet structure will be based on cloud computing. With the increase of the mobile traffic, the transmission of an huge amount of data to the cloud was not only a difficult task for the communication channel bandwidth, but also caused delays in transmission and a decline in the quality of services for the end user. With the growth of the role of mobile traffic, the support of mobility and geometric distribution is no less important. For this reason, the emergence of cloud computing as a comprehensive approach for the centralized storage, retrieval and management of information, the successful integration of cloud computing and mobile applications, is an important task. To solve such problems, Cisco introduced a concept of fog computing, designed for local processing of some tasks on fog devices. The fog layer consists of geo-allocated servers that are deployed on the network periphery. Each fog server is a lightweight version of the cloud server, and is equipped with a large data warehouse and the ability to compute and wireless transmission. In this paper, the authors emulated the operation of network nodes under fog computing conditions.