Academic literature on the topic 'NesC/TinyOS'

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Journal articles on the topic "NesC/TinyOS"

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Wu, Zhen Zhen. "Research of WirelessHART Network Layer Routing Algorithm." Applied Mechanics and Materials 336-338 (July 2013): 1827–32. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.1827.

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WirelessHART, a kind of wireless mesh communication network that suits process automation, are widely used in the industrial fields. Routing algorithm performance directly determines sensor nodes how to transfer and control data, and the effective data rate. The algorithm which affects the energy consumption and lifetime of the whole sensor network is the core content of the network layer. WirelessHART network layer routing algorithm includes Source Route and Graph Route. In this paper, WirelessHART routing algorithm is simulated using nesC language in the TinyOS, and then compares with AODV p
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Gao, Li Li. "Design of Mine Gas Monitoring System Based on Wireless Sensor Network." Advanced Materials Research 756-759 (September 2013): 603–6. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.603.

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Monitoring system design of mine gas Monitoring System were designed according to the traditional lacked of the real-time and early warning functions and so on problems. mine gas Monitoring System was constructed successfully with Wireless Sensor Network Technology. And TinyOS structure programming language nesC was applied to prepare the system software. The wireless on time measurement of the gas density could be conducted. At the same time,SMS message was used to send real-time environment information to users, which containing user-defined periodic collection data and early warning documen
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An, Kun, and Jun Qi Yu. "Design of Hazard Installations Monitoring System Based on WSN." Applied Mechanics and Materials 556-562 (May 2014): 3047–51. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3047.

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With the gradually development of wireless sensor network technology, intelligence of hazard monitoring has been promoting. A major hazard sources monitoring system based on wireless sensor network (WSN) is proposed to solve problem of deploying the monitoring system.Compared it with the conventional supervisory control and data acquisition system,monitoring system based on WSN solves the problem of complex wiring, sophisticated maintenance, etc. The hardware platform is composed of IRIS series node and Stargate Netbridge Gateway. The application is developed by nesC based on TinyOS. EKo View
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Li, Jiakai, and Gursel Serpen. "nesC-TinyOS model for parallel and distributed computation of max independent set by Hopfield network on wireless sensor network." Procedia Computer Science 6 (2011): 396–401. http://dx.doi.org/10.1016/j.procs.2011.08.074.

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Kassim, Murizah, Norakmar Arbain Sulaiman, and Mohd Sukri Yang Razali. "Fan Speed Control on Heat Detector Technique Using Zigbex Wireless Sensor Network." Advanced Materials Research 622-623 (December 2012): 1484–91. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.1484.

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this paper presented the study on fan speed control on heat detector technique using Zigbex wireless Sensor Network. The updated wireless application technology called Zigbex wireless sensor network (WSN) is used to simulate the system to control automatically the fan speed. The wireless sensor network will be based on the temperature warmth which reaches at a circumstances heat. This system could be used for the road tunnel fan control system. In wired road tunnel fan control, the system requires high cost installation fees for proper wiring for a large scale implementation. The used of Zigbe
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Rout, Mrutyunjay, Dr Harish Kumar Verma, and Subhashree Das. "Wireless Sensor Networks for Indoor Environment Monitoring Using LabVIEW." International Journal of Computer and Communication Technology, April 2011, 87–90. http://dx.doi.org/10.47893/ijcct.2011.1076.

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Wireless sensor networks (WSNs) have gained worldwide attention in recent years, particularly with the rapid progress in Micro-Electro-Mechanical Systems (MEMS) technology which has facilitated the development of smart sensors. These sensors are small, with limited processing and computing resources, and they are inexpensive compared to traditional sensors. These sensor nodes can sense, measure, and gather information from the environment and, based on some local decision process, they can transmit the sensed data to the user. WSNs are large networks made of a numerous number of sensor nodes w
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Dissertations / Theses on the topic "NesC/TinyOS"

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Rashid, Muhammad, and Mumtaz Mutarraf. "Remote Surveillance and Measurement." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-2196.

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<p>Wireless Sensor Network (WSN), a collection of “sensor nodes” promises to change the scientist’s approach of gathering the environmental data in various fields. Sensor nodes can be used for non-stop sensing, event detection, location sensing and local control of actuators, this concept gives surety to many latest application areas like agriculture, military, home or factory automation, logistics and so on. Remote surveillance and measurement missions can be performed by using WSNs. The hot research topic now-a-days is to make such networks remotely controllable and adaptive to the environme
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Wei, Pihui. "Dynamic Bug Detection in TinyOS Operating Environments." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1238166929.

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Pehrson, Skidén Petter. "Range Based Indoor Localization in Wireless Sensor Networks with Telos." Thesis, Linköpings universitet, Kommunikationssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-91844.

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Localization of individual nodes in a wireless network is useful in many applications, e.g for tracking patients in hospitals. Using the Received Signal Strength Indicator, RSSI, for this purpose has been explored in numerous studies. It is energy efficient and rarely requires customised hardware of configuration. The possibility to use pre-configured, off-the-shelf products is especially important in large scale sensor network deployments. Using RSSI has, however, many drawbacks, since the radio signal is heavily affected by the surrounding envi- ronment. Most studies in this area discuss the
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Andersson, Rikard, Martin Sandberg, and László Urszuly. "Open Secure Office Project : Wireless Sensor Network." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-195.

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<p>In recent years, the development of wireless sensor networks has made a great progress. Early projects focused on replacement of existing systems equipped with wires. These systems started out as simple static data collection networks with one smart central node that could decide further actions based on the content of the collected data. Through time, the intelligence has become more decentralized, which means the nodes now can cooperate in a more efficient and dynamic manner. The task given is to evaluate TinyOS and NesC on specific hardware from Crossbow Technology Inc, applied on an app
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Ottallah, Noor. "Implementation of Secure Key Management Techniques in Wireless Sensor Networks." ScholarWorks@UNO, 2008. http://scholarworks.uno.edu/td/703.

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Creating a secure wireless sensor network involves authenticating and encrypting messages that are sent throughout the network. The communicating nodes must agree on secret keys in order to be able to encrypt packets. Sensor networks do not have many resources and so, achieving such key agreements is a difficult matter. Many key agreement schemes like Diffie-Hellman and public-key based schemes are not suitable for wireless sensor networks. Pre-distribution of secret keys for all pairs of nodes is not viable due to the large amount of memory used when the network size is large. We propose a n
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Jamal, Muhammad Asif. "A TinyOS Testbed for CC2420 Transceivers." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-20294.

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Wireless Sensor Networks (WSNs) have gained significant consideration these days, as opposed to wired sensor networks, by introducing multi-functional wireless nodes, which are smaller in size. The main advan-tage is that its wireless, so it costs less to install, maintain and reconfig-ure. These sensor nodes are used in various application areas. For ex-ample: residential, industrial, environmental and military application areas. However WSNs communication is prone to negative influences from the physical environment, such as physical obstacles and interfer-ence. Algorithms must be developed
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Molák, Josef. "Základnová stanice pro agentní platformu WSageNt s využitím GSM modulu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236532.

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This master's thesis describes the software and hardware extension of multiagent platform WSageNt to ensure communication between basestation and web interface Control Panel using GSM network. Sensor node FITmote is used as a basestation and modem Teltonika is used as a interface to GSM. The physical interconnection of the devices implementing the newly created bridge to connect different logic voltage levels of their serial interface. Application for basestation was extended to serial communication with modem. This extend provide communication over GSM network to Internet. Application on cont
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Horáček, Jan. "Platforma pro mobilní agenty v bezdrátových senzorových sítích." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236734.

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This work deals with implementation of an agent platform, which is able to run agent code in wireless sensor networks. Implementation has been done for MICAz platform, which uses TinyOS operating system for developing applications. This work contains list of chosen TinyOS parts and illustrates, how such a platform can be used for our purposes. We will describe main features of ALLL language and we will also demonstrate some examples of agents.
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Žídek, Petr. "Použití inteligentních agentů v bezdrátových senzorových sítích." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-255314.

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This thesis is focused on wireless sensor networks and implementation tools for creation and simulation of applications. It describes WSnageNt project, which is intended to support agents in wireless sensor networks. The main objective of this thesis is to extend the WSageNt project with new features that will allow to create agents with more capabilities. These features will be then used to extend the WSageNt project with network node movement tracking capability.
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Houšť, Marek. "Monitorování stavu bezdrátových senzorových sítích agenty." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236941.

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The reader is first introduced with history and possible applications for wireless sensor networks. The thesis then describes the problems of wireless sensor networks and implementation tools for wireless sensor networks. The thesis also presents the system WSageNt and its client web interface. Practical part is based on the design of agent elements. Describes gradual implementation, testing and practical realization of these agent elements in the system WSageNt. The final part discusses the advantages and disadvantages of the project and identifies possible future expansion of the system.
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Conference papers on the topic "NesC/TinyOS"

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Rehena, Zeenat, Krishanu Kumar, Sarbani Roy, and Nandini Mukherjee. "SPIN implementation in TinyOS environment using nesC." In 2010 International Conference on Computing, Communication and Networking Technologies (ICCCNT'10). IEEE, 2010. http://dx.doi.org/10.1109/icccnt.2010.5591887.

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Ordakowski, Alexandre R., Marcos A. Carrero, Martin A. Musicante, Aldri L. Dos Santos, and Carmem S. Hara. "Desenvolvimento de Modelos de Armazenamento em Sensores com Reutilização de Código." In XXXIV Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbbd.2019.8831.

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Sensores são componentes essenciais da Internet das Coisas (IoT). Em consonância com a tendência de armazenar dados próximos `as fontes de dados, preconizada pela computação de borda e de névoa, alguns sensores podem desempenhar o papel de repositório dos dados capturados. Dado o crescimento da quantidade de dispositivos e de aplicações para IoT, há a necessidade de investigar e desenvolver novos modelos de armazenamento para sensores. No entanto, poucos trabalhos propõem uma abordagem que trate da modelagem e implementação de sistemas de armazenamento e consulta dos dados da rede de uma manei
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