...Wireless Sensor Networks and Their Usage Ali Raza,Shahid Rasheed & Shazib Javeed University Of Central Punjab Abstract Innovations in industrial, home and automation in transportation represent smart environments. Wireless Sensor Networks (WSNs) provide a new paradigm for sensing and disseminating information from various environments, with the potential to serve many and diverse applications Networks (WSN), where thousands of sensors are deployed at different locations operating in different modes .WSN consists of a number of sensors spread across a geographical area; each sensor has wireless communication capability and sufficient intelligence for signal processing and networking of the data. Wireless Sensor Networks (WSN) are used in variety of fields which includes military, healthcare, environmental, biological, home and other commercial applications. With the huge advancement in the field of embedded computer and sensor technology, Wireless Sensor Networks (WSN), which is composed of several thousands of sensor nodes which are capable of sensing, actuating, and relaying the collected information, have made remarkable impact everywhere? Key Words Wireless Sensor Network (WSNs) Structural Health Monitoring (SHM) Micro Electro-Mechanical Systems (MEMS) Introduction Sensor network is capable of sensing, processing and communicating which helps the base station or command node to observe and react according to the condition in a particular environment (physical...
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...Routing in Wireless Sensor Networks: application on Fire Detection Abstract: this paper is about fire detection in building using a modified APTEEN routing protocol. Here we design a system called iFireControl which is a smart detection system for buildings, which is more water efficient than many current systems, while keeping its robustness. introduction A Wireless Sensor network (WSN) consists of spatially distributed autonomous sensors 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 main location. The more modern networks are bi-directional, also enabling control of sensors activity. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance; nowadays such networks are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring, Agriculture, Area Monitoring, Smart Home Monitoring, Seismic Monitoring etc. Wireless Sensor Networks provide a bridge between the real physical and virtual worlds; allow the ability to observe the previously unobservable at a fine resolution over large spatio-temporal scales. The WSN is built of “nodes” from a few to several hundreds or even thousands, where each node is connected to one (or sometimes several) sensors. Each such sensor network node has typically several parts: a...
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...INTRODUCTION Wireless Sensor Networks (WSNs) are distributed embedded systems composed of a large number of low- cost, low-power, multifunctional sensor nodes. The sensor nodes are small in size and communicate wirelessly in short distances. These tiny sensor nodes can perform sensing, data processing and communicating. They are densely deployed in the desired environment. A sensor network consists of multiple detection stations called sensor nodes, each of which is small, lightweight and portable. Every sensor node is equipped with a transducer, microcomputer, transceiver and power source. The transducer generates electrical signals based on sensed physical effects and phenomena. The microcomputer processes and stores the sensor output. The transceiver, which can be hard-wired or wireless, receives commands from a central computer and transmits data to that computer. The power for each sensor node is derived from the electric utility or from a battery. Sensors use a signal of some sort, from the environment and convert it to readable form for purpose of information transfer. Each sensor node has multiple modalities for sensing the environment such as acoustic, seismic, light, temperature, etc. However, each sensor can sense only one modality at a time. The sensor nodes in the target tracking WSN use collaboration with the neighboring nodes. This requires data exchange between sensor nodes over an ad hoc wireless network with no central coordination medium. There...
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...MAXIMIZATION IN WIRELESS SENSOR NETWORK USING NODE ENERGY BASED SCHEDULING METHOD Jency. J1,Anita Christy angelin2, 1PG Scholar/Department of CSE, Karunya University,Coimbatore-India. 2Assistant Professor/Department of CSE, Karunya University, Coimbatore-India. ---------------------------------------------------------------------------------------------------------------- Abstract—Wireless sensor networks consist of large number of battery powered wireless sensor nodes. A major key issue in WSNs is to reduce the energy consumption while maintaining the normal functions of WSNs. Many different methods are used to reduce the energy consumption in the wireless sensor networks. If the node is not able to send a packet to the...
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...2009 World Congress on Computer Science and Information Engineering Simulation and Research on Data Fusion Algorithm of the Wireless Sensor Network Based on NS2 Junguo Zhang, Wenbin Li, Xueliang Zhao, Xiaodong Bai, Chen Chen Beijing Forestry University, 35 Qinghua East Road, Haidian District,Beijing, 100083 P.R.China information which processed by the embedded system to the user terminals by means of random selforganization wireless communication network through multi-hop relay. Thus it authentically achieves the purpose of ‘monitor anywhere and anytime’. The basic function of sensor network is gathering and sending back the information of the monitoring areas which the relevant sensor nodes are set in. But the sensor network node resources are very limited, which mainly embodies in battery capacity, processing ability, storage capacity, communication bandwidth and so on. Because of the limited monitoring range and reliability of each sensor, we have to make the monitoring areas of the sensor nodes overlapped when they are placed in order to enhance the robustness and accuracy of the information gathered by the entire network. In this case, certain redundancy in the gathered data will be inevitable. On the way of sending monitoring data by multi-hop relay to the sink nodes (or base stations) which are responsible to gather the data. It is necessary to reduce the redundant information by fusion processing. Data fusion is generally defined as a process...
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.... . . . . . . . . . . . 2 3 3 4 4 4 5 6 7 7 8 8 9 . . . . . . . . . . . . . . . . . . . 10 2 Introduction 3 Wireless Sensor Network 3.1 The Basics of WSN . . . . . . . . . . . . . . . . . . . . . . . . . . 3.1.1 3.1.2 3.1.3 3.2 3.3 3.4 Components of Sensor Nodes . . . . . . . . . . . . . . . . Key Features . . . . . . . . . . . . . . . . . . . . . . . . . Types of Sensor nodes . . . . . . . . . . . . . . . . . . . . Constraints in WSNs . . . . . . . . . . . . . . . . . . . . . . . . . Applications of WSN . . . . . . . . . . . . . . . . . . . . . . . . . Security Threats in WSN . . . . . . . . . . . . . . . . . . . . . . 4 Cellular Automata 4.1 Reversible Cellular Automata 5 Deployment issues in WSN with specific focus on authentication 5.1 5.2 Authentication of Cluster Head and Base Station . . . . . . . . . Authentication of Nodes . . . . . . . . . . . . . . . . . . . . . . . 12 13 13 14 15 15 15 16 6 Schemes as well as Supporting claims 6.1 6.2 6.3 Cloning attack . . . . . . . . . . . . . . . . . . . . . . . . . . . . Replay Attack . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Man-in-the-middle . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Conclusion List of Figures 1 2 3 4 5 Wireless sensor Network . . . . . . . . . . . . . . . . . . . . . . . Components of Sensor Nodes . . . . . . . . . . . . . . . . . . . . WSN with three types of sensor nodes . . . . . . . . . . . . . . . Elementary CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . Reversible...
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...Survey of Attacks, Security Mechanisms and Challenges in Wireless Sensor Networks Dr. G. Padmavathi, Mrs. D. Shanmugapriya, Prof and Head, Dept. of Computer Science, Avinashilingam University for Women, Coimbatore, India, ganapathi.padmavathi@gmail.com Lecturer, Dept. of Information Technology, Avinashilingam University for Women, Coimbatore, India, ds_priyaa@rediffmail.com Abstract—Wireless Sensor networks (WSN) is an emerging technology and have great potential to be employed in critical situations like battlefields and commercial applications such as building, traffic surveillance, habitat monitoring and smart homes and many more scenarios. One of the major challenges wireless sensor networks face today is security. While the deployment of sensor nodes in an unattended environment makes the networks vulnerable to a variety of potential attacks, the inherent power and memory limitations of sensor nodes makes conventional security solutions unfeasible. The sensing technology combined with processing power and wireless communication makes it profitable for being exploited in great quantity in future. The wireless communication technology also acquires various types of security threats. This paper discusses a wide variety of attacks in WSN and their classification mechanisms and different securities available to handle them including the challenges faced. Keywords-Wireless Sensor Network; Security Security Attacks; Defensive mechanisms; Challenges ...
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...in Wireless Sensor Network 1st Bhavya R Patel, 2nd Jignesh patel 1st PG Student, 2nd Asst.Prof. 1st Computer Engineering, 2nd Computer Engineering S.R.Patel Engineering College, Unjha, Mehsana,India 1bhavyapatel9@gmail.com, 2 jigneshpatel.er@gmail.com __________________________________________________________________________________________________________ Abstract-Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field. Gathering sensed information in an energy efficient manner is critical to operate the sensor network for a long period of time. A data collection problem is defined where, in a round of communication, each sensor node has a packet to be sent to the distant base station. If each node transmits its sensed data directly to the base station then it will deplete its power quickly. Since wireless communications consume significant amounts of battery power, sensor nodes should spend as little energy as possible receiving and transmitting data. It is necessary for communication protocols to maximize nodes' lifetimes, reduce bandwidth consumption by using local collaboration among the nodes, and tolerate node failures. Most of the work in energy efficient data gathering application is motivated by LEACH by allowing rotation of cluster head for load distribution. In this paper, we have presented several existing methods for energy efficient cluster head selection in wireless sensor...
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...Acoustic Sensor Networks Ian F. Akyildiz, Dario Pompili, Tommaso Melodia Broadband & Wireless Networking Laboratory School of Electrical & Computer Engineering Georgia Institute of Technology, Atlanta, GA 30332 Tel: (404) 894-5141 Fax: (404) 894-7883 e-mail:{ian, dario, tommaso}@ece.gatech.edu Abstract— Ocean bottom sensor nodes can be used for oceanographic data collection, pollution monitoring, offshore exploration and tactical surveillance applications. Moreover, Unmanned or Autonomous Underwater Vehicles (UUVs, AUVs), equipped with sensors, will find application in exploration of natural undersea resources and gathering of scientific data in collaborative monitoring missions. Underwater acoustic networking is the enabling technology for these applications. Underwater Networks consist of a variable number of sensors and vehicles that are deployed to perform collaborative monitoring tasks over a given area. In this paper, several fundamental key aspects of underwater acoustic communications are investigated. Different architectures for two-dimensional and three-dimensional underwater sensor networks are discussed, and the underwater channel is characterized. The main challenges for the development of efficient networking solutions posed by the underwater environment are detailed at all layers of the protocol stack. Furthermore, open research issues are discussed and possible solution approaches are outlined. I. I NTRODUCTION Ocean bottom sensor nodes are...
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...the era of computing will be outside the realm of the traditional desktop. In the Internet of Things (IoT) paradigm, many of the objects that surround us will be on the network in one form or another. Radio Frequency IDentification (RFID) and sensor network technologies will rise to meet this new challenge, in which information and communication systems are invisibly embedded in the environment around us. This results in the generation of enormous amounts of data which have to be stored, processed and presented in a seamless, efficient, and easily interpretable form. This model will consist of services that are commodities and delivered in a manner similar to traditional commodities. Cloud computing can provide the virtual infrastructure for such utility computing which integrates monitoring devices, storage devices, analytics tools, visualization platforms and client delivery. The cost based model that Cloud computing offers will enable end-to-end service provisioning for businesses and users to access applications on demand from anywhere. Smart connectivity with existing networks and context-aware computation using network resources is an indispensable part of IoT. With the growing presence of WiFi and 4G-LTE wireless Internet access, the evolution towards ubiquitous information and communication networks is already evident. However, for the Internet of Things vision to successfully emerge, the computing paradigm will need to go beyond traditional mobile computing scenarios...
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...Introduction: With the advances of micro electro mechanical system technology, wireless communications and digital electronics, Wireless Sensor Networks have been used in everywhere such as battlefield surveillance, environment supervision and traffic control has become a reality. Wireless Sensor Networks consist of large number of sensor nodes which collect and route data to the external sink with a certain transmission regulation. Due to the limitations of bandwidth memory and computing capability of such nodes the applied routing topology should ensure the minimization of energy consumption and hence maximization the lifetime of the network. When the energy is limited, our main aim is to find a route which can minimize the energy consumption...
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...REVIEW #1 This article is about the advancement of the Wireless Sensor Networks (WNSs). Their usage in various fields making them the most fast evolving technology. The wireless sensor network consist of a large number of sensor nodes, Sink and the Actuator. These sensor networks use broadcast communication paradigm but most of the networks depends on point-to-point communication. The sensor networks does not have a global identification because of large in number. The communication architecture of sensor networks has three phases 1. Sensor node 2.Sink 3.User. The sensor node collects data sends it to the sink, where the sink compute the data and finally sends it to the user. The design topology of sensor networks depends on the user requirement. The basic system consists of the power unit, processing unit, sensing unit and the transceiver. Depending on the requirement some other components can be added to the network which are like location finding system, mobilizer, power generator, etc. The design factors depend on 1.Fault Tolerance 2.Scalability 3.Production cost 4.Hardware Constraints 5.Sensor network Topology 6.Environment 7.Transmission Media 8.Poweer consumption. Depending on the network size and the requirements the cost of the network changes. The Transmission of data follows a different protocol stack which consist of different layers. Each of the layer is very dedicated in their duty of transferring data. The physical layer and the Data link layer are the...
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...IC the Future! Frost & Sullivan’s Virtual Thought Leadership Panel on Internet of Everything Measurement & Instrumentation March 20, 2014 © 2012 Frost & Sullivan. All rights reserved. This document contains highly confidential information and is the sole property of Frost & Sullivan. No part of it may be circulated, quoted, copied or otherwise reproduced without the written approval of Frost & Sullivan. Moderator’s Profile • 12 years of expertise in semiconductor and wireless industry. Special expertise in business and product strategy, positioning, consulting and market analysis. Heads a team of global analysts that conduct both syndicated and custom research on various segments of the semiconductor industry. Some of the application that are on focus in the semiconductor group including automotive, healthcare, consumer electronics, aerospace, defense, industrial, wired and wireless communication 2 • Aravind Seshagiri, Program Manager, Measurement & Instrumentation Frost & Sullivan Follow me on: (Connect with social media) @asesh1974 • • Key Take Away’s from the previous edition Ian Ferguson, Vice President Segment Marketing Security is non-negotiable. ARM is concerned about fragmentation of standards and compromise on privacy. Performance, power efficiency and the flexibility to reconfigure on the go are they key needs for next gen processors. Bob Doud, Director of Marketing Privacy a pressing issue rather than actual information overload...
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...WIRELESS SENSOR NETWORK COVERAGE: DEMONSTARTING POWER SAVINGS AND LIMITATIONS WITH MINIMIZED COVERAGE BY SIDNEY I. RUBEY A thesis submitted to the Graduate faculty of the University of Colorado at Colorado Springs in partial fulfillment of the requirements for the degree of Master of Science Department of Computer Science 2011 This thesis for Master of Science degree by Sidney I. Rubey has been approved for the Department of Computer Science by ------------------------------------------------------------------------ Dr. C. Edward Chow, Chair ------------------------------------------------------------------------ Dr. Terrance E. Boult ------------------------------------------------------------------------ Dr. Xiaobo Zhou ----------------------------------------- Date Abstract This paper explores the competing issues of coverage efficiency and power available in wireless sensor networks. Specifically, a shortest distance routing protocol is implemented, and total network system lifetimes are determined using a variety of small percentages of the available system nodes. Using a network simulator developed in Java, wireless sensor nodes are simulated, and power consumption algorithms are included in each node that take into consideration all aspects of power consumption in the operation of the node. Simulating different coverage schemes on the same network system, same initial power sources, and routing protocol, an increase of overall system lifetime of 900% is demonstrated...
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...Use of Unobtrusive Human-Machine Interface for Rehabilitation of Stroke victims through Robot Assisted Mirror therapy Gautam Narangi, Arjun Narang2, Soumya Singhi luhani Lempiainen Electrical and Electronics Engineering, Bharati Managing Director Vidyapeeth's College of Engineering, New Delhi, India Deltatron Oy Ltd. Department of Electronics and Instrumentation, Birla Helsinki, Finland Institute of Technology and Science, Pilani, India jle@deltatron.fi gautam2410@gmail.com, arjun.narang09@gmail.com, soumya.singh1001@gmail.com Abstract- Stroke is one of the leading causes of long-term disability worldwide. Present techniques employed One technique employed to effectively rehabilitate stroke for victims, especially those suffering from partial paralysis or rehabilitation of victims suffering from partial paralysis or loss loss of function, is using mirror therapy. Mirror therapy is a of function, such as mirror therapy, require substantial amount of resources, which may not be readily available. In traditional mirror therapy, patients place a mirror beside the functional limb, blocking their view of the affected limb, creating the illusion that both the limbs are working properly, which strategy that has been used successfully to treat phantom pain after amputation and recovery from hemiplegia after a stroke. In traditional mirror therapy, patients place a mirror beside the functional...
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