MAC Protocols for Optimal Information Retrieval Pattern in Sensor Networks with Mobile Access

Yang, Zhiyu; Dong, Min; Tong, Lang; Sadler, Brian M.

doi:10.1155/wcn.2005.493

Cited by 8 publications

(9 citation statements)

References 10 publications

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“…The impact of medium access control protocols on the field reconstruction field is investigated in [18], [19]. In particular, the paper in [19] considers a dense sensor network and analyzes the impact of deterministic and random data collection strategies on the quality of field reconstruction.…”

Section: Related Workmentioning

confidence: 99%

“…By using (17) in (12), the matrix becomes (18) Using (9) and applying (10) with , the asymptotic MSE, averaged over the random vector , can be written as (19) We make the following observations: 1) Since is a convex function, then . In [30] , that is .…”

Section: B Zf Filtermentioning

confidence: 99%

“…In this case the sink node employs the ZF filter in (17) but, knowing only the average value of the sensor positions, the filter results to be a function of , and the matrix can be written as (34) We observe that, when (no sensor displacement, we have and , thus, (34) reduces to (18). Using (31) and (32), the asymptotic MSE is (35) Equation (35) reduces to (19) for , while it reduces to for .…”

Section: B Zf Filtermentioning

confidence: 99%

See 2 more Smart Citations

Performance of Linear Field Reconstruction Techniques With Noise and Uncertain Sensor Locations

Nordio

Chiasserini

Viterbo

2008

IEEE Trans. Signal Process.

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Abstract-We consider a wireless sensor network, sampling a bandlimited field, described by a limited number of harmonics. Sensor nodes are irregularly deployed over the area of interest or subject to random displacement; in addition sensors measurements are affected by noise. Our goal is to obtain a high quality reconstruction of the field, with the mean square error (MSE) of the estimate as performance metric. In particular, we analytically derive the performance of several reconstruction/estimation techniques based on linear filtering. For each technique, we obtain the MSE, as well as its asymptotic expression in the case where the number of field-harmonics and the number of sensors grow to infinity, while their ratio is kept constant. Through numerical simulations, we show the validity of the asymptotic analysis, even for a small number of sensors. We provide some novel guidelines for the design of sensor networks when many parameters, such as field bandwidth, number of sensors, reconstruction quality, and sensor displacement characteristics, to be traded off.

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Section: Related Workmentioning

confidence: 99%

Section: B Zf Filtermentioning

confidence: 99%

Section: B Zf Filtermentioning

confidence: 99%

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Performance of Linear Field Reconstruction Techniques With Noise and Uncertain Sensor Locations

Nordio

Chiasserini

Viterbo

2008

IEEE Trans. Signal Process.

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“…In addition, we also assume that SNs, CHNs, and BSs in this scenario are generally stationary once they have been deployed. A mobile BS scenario can also be deployed [34,35] when the cost and needs of such operation can be justified. However, such scenarios are not considered in this research.…”

Section: The Needs For a New Architecture For Chain-type Sensor Networkmentioning

confidence: 99%

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

Chen

Wang

2008

International Journal of Distributed Sensor Networks

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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.

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“…By calculating the above, the expression of is given by (22), shown at the bottom of the page. The distribution of is plotted in Fig.…”

Section: Signal Reconstruction Distortion and Macmentioning

confidence: 99%

Information retrieval and processing in sensor networks: deterministic scheduling vs. random access

Dong

Tong

Sadler³

International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.

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Abstract-We investigate the effect of medium-access control (MAC) used in information retrieval by a mobile access point (AP) on information processing in large-scale sensor network, where sensors are unreliable and subject to outage. We focus on a 1-D sensor network and assume that the location information is available locally at each sensor and unavailable to the AP. For a fixed collection interval, two types of MAC schemes are considered: the deterministic scheduling, which collects data from predetermined sensors locations, and random access, which collects data from random locations. We compare the signal estimation performance of the two MACs, using the expected maximum distortion as the performance measure. For large sensor networks with fixed density, we show that there is a critical threshold on the sensor outage probability out : For out (1+ (1)) , where is the throughput of the random access protocol, the deterministic scheduling provides better reconstruction performance. However, for out (1+ (1)) , the performance degradation from missing data samples due to sensor outage does not justify the effort of scheduling; simple random access outperforms the optimal scheduling.

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MAC Protocols for Optimal Information Retrieval Pattern in Sensor Networks with Mobile Access

Cited by 8 publications

References 10 publications

Performance of Linear Field Reconstruction Techniques With Noise and Uncertain Sensor Locations

Performance of Linear Field Reconstruction Techniques With Noise and Uncertain Sensor Locations

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

Information retrieval and processing in sensor networks: deterministic scheduling vs. random access

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