International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017
p-ISSN: 2395-0072
www.irjet.net
PSO-GSA Tuned Dynamic Allocation in Wireless Video Sensor Networks for IOT Shilpa Bisen, M.Tech ,Department of Electronics and Communication, AMITY University, Noida, U.P., India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract— We are witnessing the formation of an Internet of Things (IoT), where real-world entities (e.g., people, plants, cars) augmented with computing devices (e.g., smart phones, tablets, sensor no des), sensors (e.g., humidity sensors, microphones, cameras), and actuators (e.g., motors, LED) are connected to the Internet, enabling them to publish their generated data on the Web. Two main characteristics of the IoT are its large scale interconnecting billions of Smart Things in the next decade, and the resource limitations of Smart Things (i.e., of their embedded computing devices). For many IoT applications, routing and sensor search are essential services. Our thesis is that despite the large scale of the IoT and the resource limitations of Smart Things, efficient solutions for the routing and sensor search services can actually be provided. We support this thesis by proposing, implementing, and evaluating routing algorithm for highscale wireless sensor networks (which are a building block of the IoT), and channel allocation for those searched path. Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) are used to assign the optimal channel bandwidth to all paths out of total assigned bandwidth to minimize the total path loss so that all data can be transferred to destination.
The core internet is the first layer of this vision. It is the backbone of the internet. It is made up of routers, servers and carrier infrastructure which are machines and access all the way along the route which connect to a website and its endpoint also. The ‘fringe’ Internet is the 2nd layer which included the concept of workstation computers; personal desktop and laptop computers. The internet of things is the third and final layer which can act either clients, servers or both and provide so many services and be any type of devices
Key words: Particle swarm optimization, Gravitational Search Algorithm. Figure 1.1: Internet of Things vision
1.INTRODUCTION 1.1 Internet of Things:
1.2 Wireless Sensor Networks
Every kind of things we think, we will be connected in Internet of Things (IoT). In this, at any time we can get information about anything from anywhere. This interconnected ecosystem have so many countless applications which interface with the internet; embedded and resource-constrained devices will imminently dominate a domain once accessible exclusively to servers and workstation computers, providing highly specific functions for sensing and actuating. Such devices find new ways for communicating with existing infrastructure and outside the world and between the things which are outside of their applications. So, we need a broad vision for the IoT for everything we might need. Figure 1.1 shows the vision of Internet of three layers.
Efficient design and implementation of wireless sensor networks has become a hot area of research in recent years, due to the vast potential of sensor networks to enable applications that connect the physical world to the virtual world. By networking large numbers of tiny sensor nodes, it is possible to obtain data about physical phenomena that was difficult or impossible to obtain in more conventional ways. Potential applications for such large-scale wireless sensor networks exist in a variety of fields, including medical monitoring, environmental monitoring, surveillance, home security, military operations, and industrial machine monitoring. Protocol design for sensor networks must account for the properties of ad hoc networks, including the following.
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