In this era where the trend runs behind adapting wireless medium to communicate and sensing of data. Clustering is a process of grouping up of similar nodes and proposed work is to build path to transmit the messages which has more priority like hospital data, defense system data. To get the reliable network there is a requirement of cluster all the deployed nodes/motes and elect cluster head for each cluster. Cluster head will be elected based on optimal cluster head selection algorithm which is based on received signal strength index of the anchor motes in cluster. For monitoring whole network there is a need of SDN (software defined network) which is a new trend in the wireless network domain. This SDN based proposed work can assure to provide reliable network for the essential communication.

Enhancing Reliability of Wireless Sensor Network Without Affecting Other QOS Parameters

WSN is highly defined to be a limited resource constrained group of network where energy acquisition plays a vital role. Sensor node in WSN is battery constrained and are required for conditions of environ as sensor nodes. In this paper adopted and enhanced an energy efficient routing protocol such as "Enhanced Position Responsive Routing Protocol" (EPRRP). EPRRP is mainly aimed for energy consumption and minimization energy in every node by decreasing the total amount of time in which sensors are in idleness listening condition and the medium transmitting distance in the network is reduced. The proposed EPRRP was strictly evaluated in the condition of network lifetime, throughput and energy acquisition in the network. By comparing with existing work with proposed work there was major difference in energy consumption because in proposed system first it will select the shortest path using shortest radio consumption frequency for transmitting so energy consumption is minimized

Role of Radio Control to Enhance the Lifetime of Wireless Sensor Network

E-learning is a way of delivering the knowledge to the learners through mobile, tabs and computer. Basically, eLearning is directed on the Internet, where learners can access their learning materials online at any time and any place. In this paper, machine learning approach goals are to deliver individualized, dynamic learning performance, supporting the improvement of knowledge. It is significant for thinking on accessible knowledge. Ontology is concerned with what is real or truth and the nature of genuineness and reality. The utilization of ontology method is to demonstrate the knowledge on certain areas. E-learning ontology can be used for representing domains in educational fields and for describing vibrant knowledge. This work contributes an balanced way for dealing with an educative model by consolidating ontology advancement. The following steps adapted for Ontology advancement are defining the domain and scope of the ontology, considering reprocessing present ontology, Enumerate significant terms. The main principal issues of educational fields are the absence of control data designing area through e-Learning performers. Building modelling helps in communication between the structure and behavior of the e-learning system. E-learning ontology has the ability to define a semantic model of the data combined with the domain knowledge. The proposed Enhancement of e-learning ontology using machine learning approach disclosure technique has been truthfully tried in an e-Learning environment for showing the subject Database Management Systems. In this proposed system student is going to select his subjects and he should take the test of that particular subject then by seeing his obtained marks in that subject its asks whether he needs pdf's or video in his feedback form then by predicting his performance it shows the particular videos or pdf's. The main intension of this paper is to exploit the KNN, SVM and K-Means algorithms for clustering of students and to utilize the ontology idea of comprehension and learning style recognizable identification.

Improvement of e-learning in Ontology using Machine Learning Techniques

Marginal and average weight-enabled data aggregation mechanism for the resource-constrained networks

Enhancing the Security in Wireless Sensor Network Using Hidden Markov Model

The proposed autonomous vehicle is designed and developed to operate on the road without any driver. It is a self-driven remote vehicle to avoid obstacles and reduces accidents or collisions. It is developed using different kinds of IoT and sensor devices and implemented using the Raspbian buster real-time operating system with a Raspberry Pi microcontroller. It can also detect the traffic signal using the camera and decide according to the signal light. The main motto of this work is to reduce traffic rule violations and accidents due to carelessness. The proposed vehicle will also detect the traffic signs and signals and act according to the respective situations.

A.I. based obstacle Avoidance and Signal Management Autonomous Car with Less Collision

Software Defined Networking (SDN) help for networking design which aims to deal with association and control flexibility. SDN is associated with the open stream and ODIN V2, which is used for long-distance correspondence in general. Its strategy is central, deft, and well-organized. With the advent of reasonably speed internet and common calculating processors, people now have the ability to access an original atmosphere of opportunities and challenges at their fingers. This most recent start of innovation has impacted areas such as education, organization, business, clinical, and corporate settings. This introduction of IoT, the number of connected devices will be greater than at any point in recent memory. These threats are designed to tamper with the information’s dependability, infiltrate various initiatives in order to spread farther, and to profit financially Ransomware has recently become the most well-known virus that has made headlines. This type of malware infection encrypts client explicit documents and demands a payment in exchange for their retrieval. Programming characterized organizing, or SDN, is the smoothing out and centralization of large commercial network organization. The most typical benefits of SDN can be described with traffic programmability, readiness, and the ability to support strategy-driven for checking the network and send network robotization. Programming projects can use an organization engineering method to supervise and organize the organization in a thoughtful and halfway manner. This allows administrators to deal with the entire company uniformly and exhaustively, regardless of the hidden organization innovation. Current ransom ware behavior shows the infection spreading from the host victim to other PCs and shared drives inside the company. This document offers a point-by-point analysis of ransomware and the malware’s flow patterns. The time taken for Crypto Wall ransomware encryption using AES is measured for various data volumes, and an SDN strategy for ransomware risk mitigation is discussed.

Enhancing Security for IoT Devices using Software Defined Networking (SDN)

In this paper, the proposed protocol, E-DSDV (Enhanced Destination Sequence Distance Vector) routing protocol is used to reduce the transmission power in WSN. The technology that has been created in recent years and will be developed in the future is primarily focused on the usage of Wireless Sensor Networks. There are numerous existing works on energy efficiency, battery lifespan using different algorithms. This work, is to prolong the life of network nodes while lowering energy usage. It operates by altering the energy based on the distance calculated between the paths. This protocol is created and developed with efficient energy, and it is simulated in the NS3 environment.

E-DSDV Routing Protocol to extend the lifetime of WSN

With the help of IoT (Internet of Things) devices, the world is becoming more connected. To accomplish this, a vast amount of data must be safely stored and accessed, yet IoT devices have limited memory and computing time. As a result, a huge storage room with secure space for storage is required. SDN (Software-Defined Networking) is a revolutionary network technology that incorporates a new paradigm of unsecured apps and Internet-of- Things (IoT) services. Enemies hoping to upset the activity of an IoT framework can use the malevolent bundle change assault (MP A), a basic however powerful assault that has recently been found in loT in light of remote sensor organizations. We offer a strategy for securing and dependably conveying information within the sight of dynamic aggressors to oppose MP As that takes advantage of SDN's programmability and flexibility. Our method ensures that loT devices are aware of any changes. The suggested solution's effectiveness and performance were assessed in a series of extensive tests using a prototype implementation. The findings show that even if malicious forwarding devices only modify a small percentage of the data, they may be reliably and promptly identified and circumvented. We examined the exhibition of our proposed framework utilizing OMNeT++ to recreate our whole situation and affirmed that the framework is secure and dependable in loT applications.

A Reliable Software Defifined Networking based Framework for IoT Devices

https://google.iopscience.iop.org/article/10.1088/1757-899X/1123/1/012002/pdf

Santosh Anand

Papers

A.I. based obstacle Avoidance and Signal Management Autonomous Car with Less Collision

Enhancing Security for IoT Devices using Software Defined Networking (SDN)

E-DSDV Routing Protocol to extend the lifetime of WSN

A Reliable Software Defifined Networking based Framework for IoT Devices

An Enhanced Mathematical Model For Cloud Based Data Oriented Job Analysis