Wireless sensor networks for area monitoring and integrated vehicle health management applications

Agre, Jonathan R.; Chien, Charles; Clare, Loren P.; Romanov, Nikolai P.; Twarowski, Allen J.

doi:10.2514/6.1999-4557

Cited by 30 publications

(15 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since most research efforts are for applications like habitat monitoring [Mainwaring et al 2002], area monitoring [Marcy et al 1999], surveillance, [Zhao et al 2002], and so on, environmental sensing and processing remains the principle stimulant in the evolution of sensor networks. Most of the protocol architectures, namely, S-MAC [Ye et al 2002], PAMAS [Singh and Raghavendra 1998], are thus designed for applications where data is acquired only when an interesting event occurs or when prompted by a user.…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient wireless sensor network design and implementation for condition-based maintenance

Tiwari

Ballal

Lewis

2007

ACM Trans. Sen. Netw.

120

View full text Add to dashboard Cite

A new application architecture is designed for continuous, real-time, distributed wireless sensor networks. We develop a wireless sensor network for machinery condition-based maintenance (CBM) in small machinery spaces using commercially available products. We develop a hardware platform, networking architecture, and medium access communication protocol. We implement a singlehop sensor network to facilitate real-time monitoring and extensive data processing for machine monitoring. A new radio battery consumption model is presented and the battery consumption equation is used to select the most suitable topology and design an energy efficient communication protocol for wireless sensor networks. A new streamlined matrix formulation is developed that allows the base station to compute the best periodic sleep times for all the nodes in the network. We combine scheduling and contention to design a hybrid MAC protocol, which achieves 100% collision avoidance by using our modified RTS-CTS contention mechanism known as UC-TDMA protocol. A LabVIEW graphical user interface is described that allows for signal processing, including FFT, various moments, and kurtosis. A wireless CBM sensor network implementation on a heating and air conditioning plant is presented as a case study. ACM Reference Format:Tiwari, A., Ballal, P., and Lewis, F. L. 2007. Energy-efficient wireless sensor network design and implementation for condition-based maintence, ACM Trans.

show abstract

Section: Introductionmentioning

confidence: 99%

Energy-efficient wireless sensor network design and implementation for condition-based maintenance

Tiwari

Ballal

Lewis

2007

ACM Trans. Sen. Netw.

120

View full text Add to dashboard Cite

show abstract

“…Examples include environmental monitoring, smart homes and offices, surveillance, and intelligent transportation systems [1,17,21]. As societal reliance on wireless sensor network technology increases, we can expect the size and complexity of individual networks as well as the number of networks to increase dramatically.…”

Section: Introductionmentioning

confidence: 99%

Efficient clustering algorithms for self-organizing wireless sensor networks

Krishnan¹,

Starobinski

2006

Ad Hoc Networks

112

View full text Add to dashboard Cite

Self-organization of wireless sensor networks, which involves network decomposition into connected clusters, is a challenging task because of the limited bandwidth and energy resources available in these networks. In this paper, we make contributions towards improving the efficiency of self-organization in wireless sensor networks. We first present a novel approach for message-efficient clustering, in which nodes allocate local "growth budgets" to neighbors. We introduce two algorithms that make use of this approach. We analyze the message complexity of these algorithms and provide performance results from simulations. The algorithms produce clusters of bounded size and low diameter, using significantly fewer messages than the earlier, commonly used, Expanding Ring approach. Next, we present a new randomized methodology for designing the timers of cluster initiators. This methodology provides a probabilistic guarantee that initiators will not interfere with each other. We derive an upper bound on the expected time for network decomposition that is logarithmic in the number of nodes in the network. We also present a variant that optimistically allows more concurrency among initiators and significantly reduces the network decomposition time.However, it produces slightly more clusters than the first method. Extensive simulations over different topologies confirm the analytical results and demonstrate that our proposed methodology scales to large networks.

show abstract

“…Some of them further assume that each node in a sensor network has the ability to transmit data to any other sensor node or directly to the base station [9,10]. These sensor networks are indeed applicable to numerous applications to extend our ability to monitor and control the physical world, including biological and environmental monitoring tasks, ranging from marine to soil and atmospheric context [24][25][26], and defense and homeland security applications, ranging from target detection and classification, to object tracking and intrusion detection [20][21][22][23][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Chain-Type Wireless Sensor Network for Monitoring Long Range Infrastructures: Architecture and Protocols

Chen

Wang

2008

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

We present in this paper an investigation of a special class of wireless sensor networks for monitoring critical infrastructures that may extend for hundreds of miles in distances. Such networks are fundamentally different from traditional sensor networks in that the sensor nodes in this class of networks are deployed along narrowly elongated geographical areas and form a chain-type topology. Based on careful analysis of existing sensor network architectures, we first demonstrate the need to develop new architecture and networking protocols to match the unique topology of chain-type sensor networks. We then propose hierarchical network architecture that consists of clusters of sensor nodes to enable the chain-type sensor networks to be scalable to cover typically long range infrastructures with tolerable delay in networkwide data collection. To maintain energy efficient operations and maximize the lifetime for such a chain-type sensor network, we devise a smart strategy for the deployment of cluster heads. Protocols for network initialization and seamless operations of the chain-type sensor networks are also developed to match the proposed hierarchical architecture and cluster head deployment strategy. Simulations have been carried out to verify the performance of the hierarchical architecture, the smart node deployment strategy, and the corresponding network initialization and operation protocols.

show abstract

Wireless sensor networks for area monitoring and integrated vehicle health management applications

Cited by 30 publications

References 3 publications

Energy-efficient wireless sensor network design and implementation for condition-based maintenance

Energy-efficient wireless sensor network design and implementation for condition-based maintenance

Efficient clustering algorithms for self-organizing wireless sensor networks

Chain-Type Wireless Sensor Network for Monitoring Long Range Infrastructures: Architecture and Protocols

Contact Info

Product

Resources

About