MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

Since last two decades, Wireless Sensor Network and Mobile Communication success rate is raised too high and demanding for overall communication network as it consists of heterogeneous wireless networks. These networks provides universal wireless access change, also provide dynamic scheduling between devices, networks and whole world for communication. It is applicable for prominently highly demanding domains like medical devices, sensors used for military applications, smart buildings, societies, and cities so on. At the same time new technological domain named IoT (Internet of Things) is making high impact on communication domain. It is an integration of several technologies. It is interchangeably can also be used as Wireless Sensor Network only the difference is that the IoT devices and networks has limited storage and computing capabilities and works on the internet. As IoT Ecosystem and WSN used for numerous Computation, Communication over the internet which ultimately increased network traffic and leads to congestion in the network which affects the Quality of Service (QoS) parameters of the network. In this paper, a novel method is proposed to handle the increased network traffic and Congestion network using the Krill Herd Aggregation Mechanism.

School of Computer Engineering & Technology

Engineering and Technology

Fulltext

International Journal of Recent Technology and Engineering (IJRTE)

Congestion Control for Better Performance of WSN Based IoT Ecosystem using KHA Mechanism

Now a days Wireless sensor networks are used for number of real time applications such as computation cost, memory utilization, and communication and energy resources. As the network consist of number of nodes, these nodes comprises of batteries. One of the main issue in WSN is that these batteries are not easily recharged or replaced. Moreover decreasing these energy reduction reduce the network lifetime, therefore increasing the network lifetime is an important issue in front of researcher. This paper proposes the clustering based routing protocol, in which sensor nodes are divided into number of clusters. Then a cluster head is selected from each cluster called as super cluster head. Data is sent to base station by super cluster head, which is selected among all cluster heads. For selection of Super cluster head (SCH) a fuzzy logic approach is used, which considers the factors such as the remaining battery power of modem mobility, route of base station etc. In the existing system, researcher does not focus on security of network. Hence in the proposed system we are securing data in the network by using ECC algorithm. Proposed system also detects the attack found in the network. Therefore it improves the network lifetime, providing security to the network.

World University root node

International Journal of Computer Engineering and Applications

INCREASING NETWORK LIFETIME USING PDR ANALYSIS AND FUZZY LOGIC IN WSN

An exoskeleton, also known as powered exoskeleton, is a movable machine that primarily consists of an outer mechanical framework to be worn by a person. It is energized by using a system consisting of mechanical and electrical parts that deliver at least a part of the energy for the body movements. The development in exoskeleton is considered as the embodiment in development of military applications. In this paper, we have discussed the smart exoskeleton using vital engineering applications. The paper underscores the smartness of the exoskeleton using RFID and heat signature, GPS tracking, piezoelectric shoes and provide the Indian military with a cost effective smart exoskeleton with load reducing capability allowing the bearer to carry about 40kg weight with ease.

International Journal of Computer Engineering and Applications (IJCEA)

Smart Exoskeleton Primarily For Light Weighting Of Load

The Landmines are one of the deadliest weapons used in war which has killed millions of people during the world war period. Specifically, even at the current scenario the landmines spares around 15000 to 20000 lives each year as per the report from UN. There are lot of devices, technologies roaming around the fields to detect the landmines and it is not sufficient or sometimes unpredictable. Few reports from UN suggests that still there are lot of landmines which is leftover without exploding and it may explode when it is triggered with pressure on it. To locate the landmines the devices like Metal detectors were used initially and later used with sensors to improve the prediction. But, all these detectors or technology goes in vain while some of the mines couldn’t be recognized due to unusual physical or chemical properties. Ultimately to overcome these drawbacks and save millions of lives of the soldiers and people who lives near war affected areas, the new proposal on “Landmine Detector drone’s using Machine Learning” is proposed in this paper. The Drone with sensor’s attached will determine the physical and chemical properties of the object present beneath the soil.

Landmine Detector Drone's Using Machine Learning

Wireless sensor network (WSN) is a dynamic self - configured device which is used for the communicational purpose to monitor different scenarios. To the best of our knowledge, the main challenge faced in the field of wireless sensor network is computing, monitoring and the size of the sensor. In this paper we underscore the fact of analysis of the behavior of wireless sensor network using different factors and protocols. By analysis we can predict the behavior and analyze the superficiality. © 2017 IEEE.

2017 International Conference on Big Data, IoT and Data Science, BID 2017

Performance analysis of wireless sensor networks for QoS

As population is burgeoning, there is an increase in the number of vehicles on the road and hence an upsurge in the problems associated with traffic management, especially the Public Transport. There is also an increase in the number of accidents and various other traffic related issues. Intelligent Transportation System (ITS) provides the solution to most of these problems by integrating existing technologies with the underlying infrastructure. With the advent of mobile technology and the ubiquitous cellular network, real time vehicle tracking for efficient transport management has become viable. The futile long wait for a bus to arrive can be avoided by Intelligent Public Transportation System. The omnipresence of Smart Phones and their ever increasing power at a very economical price makes them one of the most attractive options for developing IOT applications. Here, an approach based on the combination of technologies like GPS and Android is discussed which can assuage passengers who commute by the means of public transport. The user is furnished with explicit information about the current location of nearest buses approaching the bus-stop on a mobile application. Using readily available Android API's, technologies like 3G network and SMS based services in the existing mobile phones can reduce the cost and size of hardware required, as well as lead to a better output. © 2016 IEEE.