Wireless network

Introduction Wireless network is indicated to a telecommunication network whose interconnections between nodes are implemented without the use of wires, such a computer network. Nowadays, wireless network has become the important thing in telecommunication. This sort of technology has been used for over a century and remains synonymous with radio. In 19th century, Guglielmo Marconi invented a radio and made his made his mark in the world of wireless technology. At that moment, Marconi was about

INDEX 1. INTRODUCTION 1 1.1 Wireless sensors Deployment 2 1.2 Wireless Sensor and Actor Networks 3 1.3 The Physical Architecture of WSANs 3 1.4 Difference between WSNS and WS 4 1.5 Requirement of WSNs 5 2. Wireless Ad-Hoc Network 5 3. Current Issues and solution 6 3.1 Key management issue for future

WIRELESS NETWORKS Wireless networks have become a major part in the operation of businesses and in people’s lives. Wireless networks can provide fast speed internet connections without having to use wired connections. Businesses are doing much better with wireless networks because they don’t have to pay the costs of installing wired networks and people can work easier because they do not have wires running all over the place. Now with wireless networks in place, businesses are able to connect

Abstract—Wireless sensor networks (WSN) is a key innovation for the wireless network technology. It generally has a large number of sensor nodes with a power unit, a sensing unit, a processing unit, a storage unit, and a wireless transmitter & receiver. They are more vulnerable to attack then wired ones due to its nature and resources limitations. So as to overcome this security problems we can different types of Key Distribution and Hierarchical WSN. This paper gives more solutions to all problems

Wireless sensor networks typically consist of a large number of sensor nodes with limited onboard battery resources which are difficult to recharge or replace. Thus the reduction of energy consumption for end-to-end data rate and maximization of network lifetime have become chief research concern. In recent years, many techniques have been proposed for improving the energy efficiency in wireless sensor networks. Among these techniques, V-MIMO technique has been considered as one of the effective

clustering protocols aim is to minimize the energy consumption for each node and to maximize the network lifetime of wireless sensor networks. In wireless sensor networks the node are densely deployed and it consumes large energy, it acquires from cluster formation overhead and fixed level clustering. The proposing method is Power Efficient and Adaptive Clustering Hierarchy Protocol (PEACH) for wireless sensor networks. In PEACH, when the anticipation of the node reaching highest energy to become a Cluster

Abstract- The Advancement in various wireless Network ,Enables Mobile Subcriber to enjoy internet anytime anywhere ,but ensuring security and efficiency of this process is challenging, because different networks have different security policies and authentication protocols.. Wireless technologies such as the Wireless Local Area Network (WLAN), the Worldwide Interoperability for Microwave Access (WiMAX), and the Third-Generation (3G) mobile communications system complement each other to support a

A mobile wireless sensor network, shortly WMSN, can be defined as a wireless network of a sensor nodes that are mobile. Motivation behind a mobile wireless sensor network is to capture real world data and convert them so it can be transferred, processed, stored and later studied or analyzed (Guo, 2014). The MWSN is usually a combination of two or more technologies such as mobility, wireless connectivity and the ability to gather local information. The mobile wireless sensor network is usually deployment

I. INTRODUCTION Wireless Sensor Network consists of highly distributed Autonomous sensors nodes to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass their data through the network to a receiver (destination) [1] [7]. A sensor node consist of a radio transceiver with internal antenna or connected to external antenna, a microcontroller and electronic circuits for interfacing with the sensors and energy source

design issues in Wireless Sensor Networks (WSNs). For that reason, it is vital to consider network coverage and energy consumption in the design of WSN layouts. Because selecting the optimal geographical positions of the nodes is usually a very complicated task, we propose a novel heuristic search technique to solve this problem. Our approach is a multi-population search algorithm based on the Particle Swarm Optimization (PSO). The goal of this algorithm is to search for sensor network layouts that