A distributed stabilised clustering algorithm for large-scale wireless ad hoc networks

Purtoosi, R.; Taheri, Hassan; Mohammadi, Abbas; Foroozan, Foroohar

doi:10.1504/ijahuc.2007.012419

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…The lack of any predetermined topology and also dynamic changes in wireless channel creates many challenging research issues in this area and there is currently lots of effort to solving these problems [1], [2].…”

Section: Introductionmentioning

confidence: 99%

Characterization of the Scalability of Wireless Ad Hoc Networks under Channel Limitations

Rezagah

Mohammadi

2006

2006 Innovations in Information Technology

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Determining the capacity of ad hoc networks is a challenging performance analysis issue. In this paper we employ a statistical method based on Signal-toInterference-plus-Noise-Ratio (SINR) probability density function to explore the capacity problem. The channel parameters as path loss, shadowing, fading, etc. are considered in this technique. By implementing this method, we derive the exact value for the capacity of ad hoc networks for two network growth scenarios according to the physical resources allocated to the network. We show that independent from the network growth scenario, per node end to end capacity decreases with the increase in the mean number of active nodes. We also study the effect of variations in wireless channel parameters on the network capacity 1 .

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Section: Introductionmentioning

confidence: 99%

Characterization of the Scalability of Wireless Ad Hoc Networks under Channel Limitations

Rezagah

Mohammadi

2006

2006 Innovations in Information Technology

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The Capacity of Wireless Ad Hoc Networks Using Statistical Techniques

Ebrahimrezagah

Mohammadi

2006

2006 IEEE International Conference on Communications

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Localization in wireless imaging sensor networks using SAR techniques

Haraty

Mohammadi

Alimadady

et al. 2012

6th International Symposium on Telecommunications (IST)

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In wireless sensor networks, localization and routing are challenging problems with many research attentions. In dense sensor networks, overhead and delay for routing significantly decrease throughput of the system. Also when sensors gather massive information about environment such as image, the throughput of the system dramatically reduces. In this paper, we introduce a new method which is combination of radar localization techniques and clustering approach that can increase the throughput and total capacity in dense sensor networks. We adopt non-coherent method, like Matched-Filter (MF) and MLestimation, to analyze the Synthetic-Aperture-Radar (SAR)-like topology. In localization method, one important advantage is transferring complexity from sensor nodes to Header and then to Base Station (BS) node which has sufficient energy and calculation power to analyze received information. Moving BS in two directions instead of one achieves less calculation complexity in comparison with other methods for the same resolution. Accordingly we can improve the performance of network using cooperation and aggregation techniques.

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A distributed stabilised clustering algorithm for large-scale wireless ad hoc networks

Cited by 3 publications

References 21 publications

Characterization of the Scalability of Wireless Ad Hoc Networks under Channel Limitations

Characterization of the Scalability of Wireless Ad Hoc Networks under Channel Limitations

The Capacity of Wireless Ad Hoc Networks Using Statistical Techniques

Localization in wireless imaging sensor networks using SAR techniques

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