Sanjai Pathak

The rapid advancement of networking technology has enabled small devices to have communication capabilities, but the current decentralized communication system is not ideal for heterogeneous networks like vehicular networks. The integration of routing, switching, and decision-making capabilities in the same network device limits innovation and impedes performance in decentralized networks, especially in vehicular networks where network topologies change frequently. To address the demands of such networks, Software-Defined Networking (SDN) provides a promising solution that supports innovation. However, SDN's single-controller-based system may restrict the network's operational capabilities, despite being programmable and flexible. This paper suggests two methods to tackle the complex problem of controller placement in SDN: an adaptable approach based on OpenFlow protocol in OpenNet and an evolutionary algorithm called Elite Opposition-Based Salp Swarm Algorithm (EO-SSA) to m...

Sudoku is a Japanese logical puzzle solved using brain power. In this puzzle, the player places a digit among 1 to n in such a way that no cell in the same row, grid and column have the same value. In an n × n grid, there exists n possibilities of placing a value in a cell. This puzzle is available at different difficulty level. Generating a Sudoku puzzle with a specific difficulty level is a challenging task. Though there are various algorithms exist in the literature for generating the brainteaser, all of them either uses Backtracking technique or patterns for problem generation. This leads to exponential time complexity. Hence, there is a need for a polynomial-time solution that takes care of all possible cases. In this paper, we propose a polynomial time algorithm for generating the Sudoku puzzle in DNA computing using the Adleman-Lipton model. The puzzle is initially represented as a graph, later graph colouring algorithm is applied to it. From the obtained solution, randomly f...

The tightly coupled control plane and data plane in inbuilt hardware devices such as switches and routers are not suitable to meet the current needs of vehicular network requirements. The complexity to integrate moving devices with other high-speed moving devices and heterogeneous elements in the vehicular network is due to high-speed mobility where network topology changes dynamically and sometimes communication is also broken because of short network range of devices. The decentralized decisions of routing and switching in the traditional network architecture, where control plane and data plane are tightly coupled, demands an innovative approach for the routing and switching of network packets. Software-defined network (SDN) is a promising network architecture, which decouples the control plane from the inbuilt device. SDN can be a single or multiple controllers based network system. An SDN having multiple controllers with self-organization capability provides fault tolerance and ...

Industrial Transportation System (ITS) comprises of transport vehicles and services used by industrial enterprises for moving objects (animate and inanimate) both within and outside of the organization. The current transportation infrastructure is inadequate and severely impacts business growth. Some of the issues with traditional transportation system can be overcome by interconnecting the same using a high-speed information system, also known as the internet-of vehicles (IoV). The augmented ITS can support in addressing some of the major challenges faced by traditional transportation such as dynamic requirement change, unreliable delivery time, higher labor cost, human error and energy efficiency. This paper discusses the advantages of augmenting industrial transportation system with IoV. It also analyzes various obstacles that need to be overcome for the successful implementation of internet-of vehicles. Hence, a novel architecture for augmenting industrial transportation system ...

Vehicular Ad hoc Networks (VANETs) is a self-configuring and decentralized network that is created spontaneously for the communication between neighbouring devices and not relying on any existing infrastructure. The decentralized decisions such as routing and switching in the existing communication system are installed on the same equipment, which is not suitable for networks with characteristics of constantly changing topology and limited transmission range, thus leads to the broadcast storm problem. A novel architecture of networking has been proposed to embrace the dynamic nature of VANETs and suppress the broadcast storm problem by centralized control plane known as software-defined network (SDN), which is having a global view of the network. SDN has limited operational capabilities, as it is often a single network controller based systems. Multiple controllers with self-organization capability provide fault tolerance, handle heterogeneity, the dynamic nature, scalability; colla...

Many real-world applications can be cast as dynamic optimization problems where it is required to locate and track the trajectory of the changing global optima while finding the global best solution in a dynamic and uncertain environment. In this article, we present a novel nature-inspired meta-heuristic optimizer to solve dynamic optimization problems, namely self-adaptive salp swarm algorithm. The self-adaptive parameter control technique is used with a multi-population and ageing mechanism, in which individuals have to maintain diversity during the optimization process in SA-SSA. The evaluation is conducted to examine the overall performance of SA-SSA on widely known generalized dynamic benchmark problems provided in the CEC’09 competition. Preliminary results showed that the proposed SA-SSA is promising.

Interconnected vehicles, which communicate using the same concept of mobile networks, where a wireless connection is established spontaneously to perform information exchange between vehicles, is known as Vehicular Network (VANETs). High-speed moving user devices often experience information loss due to lack of connectivity, which stems from traditional network systems where the routing and switching system are installed on the same equipment. Software-defined network (SDN) embraces the dynamic nature of the vehicular network by separating the control plane from the data plane, but has limited the operational capabilities, as it is often a single network controller based systems. Multiple controllers provide fault tolerance. However, it is important to validate the augmented solution of multiple controllers using a network simulator, which would be cost-effective and feasible. In this paper capability comparison between network simulators NS3, MiniNet and OpenNet have been performed...

An Elite Opposition-based Learning Salp Swarm Algorithm (EOSSA) for the numerical optimization problems is introduced in this article. An attempt is made to introduce a hybrid model of two new paradigms: Salp Swarm Algorithm (SSA) and Elite Opposition-based Learning (EOL). SSA is a novel population-based meta-heuristic optimization algorithm with excellent edges while solving real-world optimization problems. EOL is a novel scheme in intelligent computing with advantages of economic and practical in solving optimization problems. The objective of this hybridization is to augment the exploration and evaluation aptitude of the original SSA. The obtained result of the proposed strategy is evaluated on the different configurations of well-known global benchmark functions and compared with the development of standard SSA. The experimental results show that EOSSA is competitive to the traditional SSA approaches.