Sensor Information Networking Architecture

Srisathapornphat, C.; Jaikaeo, Chaiporn; Shen, Chien-Chung

doi:10.1109/icppw.2000.869083

Cited by 67 publications

(31 citation statements)

References 6 publications

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“…Having the same goals as our research, but starting from a different point (database-like queries), the researchers end up with the same basic solution as SensorWare, namely a tasking language for sensor networks. To lively demonstrate the relevance to our work we are quoting an excerpt from [17] [28]. SINA uses both SQL-like queries as well as SQTL programs.…”

Section: Related Workmentioning

confidence: 99%

Design and implementation of a framework for efficient and programmable sensor networks

Boulis

Han

Srivastava

2003

Proceedings of the 1st International Conference on Mobile Systems, Applications and Services

226

128

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-Wireless ad hoc sensor networks have emerged as one of the key growth areas for wireless networking and computing technologies. So far these networks/systems have been designed with static and custom architectures for specific tasks, thus providing inflexible operation and interaction capabilities. Our vision is to create sensor networks that are open to multiple transient users with dynamic needs. Working towards this vision, we propose a framework to define and support lightweight and mobile control scripts that allow the computation, communication, and sensing resources at the sensor nodes to be efficiently harnessed in an application-specific fashion. The replication/migration of such scripts in several sensor nodes allows the dynamic deployment of distributed algorithms into the network. Our framework, SensorWare, defines, creates, dynamically deploys, and supports such scripts. Our implementation of SensorWare occupies less than 180Kbytes of code memory and thus easily fits into several sensor node platforms. Extensive delay measurements on our iPAQ-based prototype sensor node platform reveal the small overhead of SensorWare to the algorithms (less than 0.3msec in most high-level operations). In return the programmer of the sensor network receives compactness of code, abstraction services for all of the node's modules, and in-built multi-user support.

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Section: Related Workmentioning

confidence: 99%

Design and implementation of a framework for efficient and programmable sensor networks

Boulis

Han

Srivastava

2003

Proceedings of the 1st International Conference on Mobile Systems, Applications and Services

226

128

View full text Add to dashboard Cite

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“…In another paper [10], Srisathapornphat et al propose to use sensor networks to sense intruders on bases, to detect enemy units movements on land or sea, to detect chemical (or biological) threats, and to offer logistics in urban warfare. Recently, researchers propose to use sensor network to form a smart-landmine network which can destroy the intruding targets using the minimum-cost pre-deployed mines [11].…”

Section: Related Workmentioning

confidence: 99%

“…Sensor network can also be used in many other areas, such as public safety [24], [25] (sensing and location determination at disaster sites), coordinated vehicle tracking [26], vehicle theft detection and tracking [27], smart badges and tags [24], [25], monitoring hazardous chemical levels and fires [24], managing inventory, monitoring product quality [28], [29], and many others.…”

Section: Related Workmentioning

confidence: 99%

A Distributed System for Mad-Cow Disease Monitoring and Tracking

Zhang¹

2010

IJU

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Advances in hardware technology and wireless communication have enabled the deployment of largescale sensor networks, where thousands to millions of self-powered, small and low-cost sensor nodes are distributed over a vast field to obtain sensing data. These sensor nodes are equipped with sensing, communicating, and data processing units, which allow sensor nodes to collect, exchange, and process data of the environment. The processing units used in the current generation of sensor nodes are already powerful enough to perform some complicated algorithms to process sensing data, and they are expected to be more powerful in the future. Due to these attractive characteristics, wireless sensor networks are ideal candidates for a wide range of civil applications and military operations. This paper provides an indepth study of applying wireless sensor networks to real-world mad-cow disease monitoring and beef distribution safety system. An extensive survey of the state of the art to design a distributed system for pervasive computing is conducted. A set of techniques and mechanisms are compared and ranked in the paper. Then the characteristics for designing this kind of pervasive system are listed; the system architecture is presented; and an instance of the key mechanisms for monitoring the mad-cow disease and tracking beef distribution system is presented. This system supports real-time communication and multitasking scheduling as well. KEYWORDSSensor Networks, Distributed System, Mad-Cow Disease (MCD) INTRODUCTIONSince Mark Weiser described the vision of pervasive computing in his seminal paper [1], a lot of progress has been achieved in this area. With the advance in MEMS devices and embedded processors and radio, it will soon be feasible to deploy large-scale sensor networks to perform distributed microsensing and control of physical environment [2]. For example, Civil engineers are using motes to monitor building integrity during earthquakes [3]; biologists are planning mote deployments for habitat monitoring [4], [5]; administrators of large computer clusters are using motes to monitor the temperature and power usage in their data centers.Recently, people are considering using sensors to monitor and track the mad-cow disease. The fast spread of mad-cow disease has caused severe results in the past. People got contaminated and economics was also affected by this event. To avoid disease spread out and track the distribution of beef, recording sensors have been put in different processing procedures [6]. The smart sensors and actuators are equipped with low-power processors and short-range radio 2 transceivers. They will automatically form multi-hop ad hoc networks to communicate with other sensors and remote base stations as well.Radio Frequency Identification (RFID) (Figure 1) has been used by PM Beef on cow/calf farms, feedlots and PM's harvest and fabrication facility in Windam, MN [7]. However, those RFIDs act only as identification: They do not group into sensor networks. Figure 1. RFID tagsThis...

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“…Yu et al [64] describe integration of application knowledge into services as an important principle for middleware design. Easily implementable, lightweight middleware architecture such as Sensorware [65], Milan (Middleware Linking Applications and Networks) [61] have been recently proposed in literature. Some important objectives of sensor network middleware as identified by Romer et al [67] are mechanisms for formulating complex high-level sensing tasks, coordinating task distribution and assignment among sensors, merging individual sensor readings into useful high-level results and effectively dealing with the heterogeneity of sensor nodes.…”

Section: Middleware For Wireless Sensor Networkmentioning

confidence: 99%