...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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...SECURE ROUTING IN WIRELESS SENSOR NETWORKS By [Name] The Name of the Class (Course) Professor (Tutor): The Name of the School (University): The City and State The Date: Abstract. Wireless sensor networks (WSANs) are a group of sensors and actors that are linked by a wireless medium for the purpose of performing distributed sensing and action on a given task. This involves the sensors collecting information about the surrounding physical environment and sending the information to the actors which take the decisions and perform some needed action basing on the information received from the sensors about the surrounding environment. These sensor networks are sometimes referred to as wireless sensor and actuator networks. They monitor physical or environmental conditions such as sound, pressure, temperature among others and send the collected data to the required location. Effective sensing and acting requires a distributed local coordination methods and mechanism among the sensors and the actors in addition to this, sensor data should be valid in order for right and timely actions to be performed. This paper describes secure routing in wireless sensor networks and outlines its threats on security. Keywords: Wireless sensor and actor networks; Actuators; Ad hoc networks; Sybil attack; Real-time communication; Sinkhole; Routing; MAC; adversary. Introduction With the recent rapid improvement on technology, many networking technologies have been created to make...
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...Topology-Transparent Duty Cycling for Wireless Sensor Networks Computer Science& Engineering Arizona State University syrotiuk@asu.edu Abstract Our goal is to save energy in wireless sensor networks (WSNs) by periodic duty-cycling of sensor nodes. We schedule sensor nodes between active (transmit or receive) and sleep modes while bounding packet latency in the presence of collisions. In order to support a dynamic WSN topology, we focus on topology-transparent approaches to scheduling; these are independent of detailed topology information. Much work has been done on topology-transparent scheduling in which all nodes are active. In this work, we examine the connection between topology-transparent dutycycling and such non-sleeping schedules. This suggests a way to construct topology-transparent duty-cycling schedules. We analyse the performance of topology-transparent schedules with a focus on throughput in the worst case. A construction of topology-transparent duty-cycling schedules based on a topology-transparent non-sleeping schedule is proposed. The constructed schedule achieves the maximum average throughput in the worst case if the given nonsleeping schedule satisfies certain properties. 1 Introduction Wireless sensor networking has been a growing research area for the last years. It has a wide range of potential applications, such as environment monitoring, smart spaces, medical systems and robotic exploration. In sensor networks, sensor nodes are normally battery-operated...
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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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...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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...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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...Integrating Wireless Sensor Networks with the Web Walter Colitti Vrije Universiteit Brussel - ETRO Pleinlaan 2, 1050 Brussels +32 2 629 10 27 Kris Steenhaut Vrije Universiteit Brussel - ETRO Pleinlaan 2, 1050 Brussels +32 2 629 29 76 Niccolò De Caro Vrije Universiteit Brussel - ETRO University of Perugia - DIEI +32 2 629 10 27 wcolitti@etro.vub.ac.be ksteenha@etro.vub.ac.be ndecaro@etro.vub.ac.be ABSTRACT IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) has accelerated the integration of Wireless Sensor Networks (WSNs) and smart objects with the Internet. At the same time, the Constrained Application Protocol (CoAP) has made it possible to provide resource constrained devices with RESTful web service functionalities and consequently to integrate WSNs and smart objects with the Web. The use of Web services on top of IP based WSNs facilitates the software reusability and reduces the complexity of the application development. This work focuses on RESTful WSNs. It describes CoAP, highlights the main differences with HTTP and reports the results of a simple experiment showing the benefits of CoAP in terms of power consumption compared to HTTP. The paper also describes the design and development of an end-to-end IP based architecture integrating a CoAP over 6LowPAN Contiki based WSN with an HTTP over IP based application. The application allows a user to access WSN data directly from a Web browser. The main system’s building blocks and functionalities...
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...A BIG DATA APPROACH FOR HEALTH CARE APPLICATION DEVELOPMENT G.Sravya [1], A.Shalini [2], K.Raghava Rao [3] @ B.Tech Students, dept. of Electronics and Computers. K L University, Guntur, AP. *.Professor, dept. of Electronics and Computers. K L University, Guntur, AP sravyagunturi93@gmail.com , shaliniaramandla@gmail.com, raghavarao@kluniversity.in ABSTRACT: Big data is playing a vital role in present scenario. big data has become the buzzword in every field of research. big data is collection of many sets of data which contains large amount of information and little ambiguity where other traditional technologies are lagging and cannot compete with it .big data helps to manipulate and update the large amount of data which is used by every organization in any fields The main aim of this paper is to address the impact of these big data issues on health care application development but health care industry is lagging behind other sectors in using big data .although it is in early stages in health care it provides the researches to accesses what type of treatment should be taken that are more preferable for particular diseases, type of drugs required and patients records I. Introduction Health care is one of the most prominent problems faced by the society now a day. Every day a new disease is take birth which leads to illness of millions of people. Every disease has its own and unique medicine for its cure. Maintaining all the data related to...
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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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...Advances In Medical Technology: What Does The Future Hold? ScienceDaily (June 16, 2009) — Major challenges and opportunities will arise in the health sector in the future. Research in technology that can be applied to this sector is being carried out by several UPC teams. [pic] Although sophisticated medical technology is already available in health systems in developed countries, further advances are constantly being made. As a result of the addition of medical nanotechnology to existing knowledge of molecular and cellular biology, it seems likely that new, more personalised, more accurate and more rapid diagnostic techniques will be devised in the future, as well as new treatments that are also more personalised and promote regeneration of the organism. Clearly, as areas of research such as biomaterials or tissue engineering are developed for use in regenerative medicine, the range of opportunities will increase dramatically. Josep Anton Planell, the director of the Institute for Bioengineering of Catalonia (IBEC), which was formed by the UB, the UPC and the Generalitat (Government of Catalonia) and has its headquarters in Barcelona Science Park, considers that “in the future, it will be possible to design intelligent biomaterials that, when placed where damaged tissue needs to be regenerated, will be able to stimulate the stem cells to do what we want them to do”. However, more knowledge is needed to perfect the process. He states, “We are beginning to understand which...
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...Embedded system is a computer system with a dedicated function within a larger mechanical or electrical system • Often ES are Real time Systems • Embedded Systems are generally – Small size – Low Power and Price – Rugged OS Embedded system … • Embedded systems are often based on microcontrollers • Embedded systems are used in various portable devices • Embedded systems are used in transportation, fire safety, safety and security, medical applications and life critical systems • A new class of wireless embedded devices called motes are networked wireless sensors. Wireless sensor network (WSN) • A wireless sensor network (WSN) is an example of a complete embedded system – Various ES work in a distributed network – Communicate wirelessly – Contains independent sensors etc. A WSN … Embedded System : Node • WSN is composed of various nodes • Resource Constraints • Network Topology and Routing Embedded Systems Specifications • Specifications WE NEED FORMALITY TO FILL THE GAPS • Implementation Model Checking in Embedded System Apply Properties Yes OR No If No....... Why No? • Where Modeling Techniques can be used in Embedded Systems? Specification Stage – Give a description of the system to be developed, at whatever level(s) of detail desired – Used to guide further development activities – Used to verify that the requirements for the system being developed have been completely and accurately specified •...
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...2. Categorization of the Wireless Sensor Networks in healthcare systems 1. Monitoring of patients in clinical settings 2.Home & elderly care center monitoring for chronic and elderly patients 3.Collection of long-term databases of clinical data Monitoring of patients in clinical settings Presently Sensors are effective for single measurements, however, are not integrated into a “complete body area Network”, where many sensors are working cumulatively on an individual patient. Mobility is desired, but in many cases sensors have not yet become wireless. This creates the need for the execution of new biomedical personal wireless networks with a common architecture and the capacity to handle multiple sensors, monitoring different body signals,...
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