DAMORD: an aggregation algorithm for mobile point source using rate‐distortion theory in wireless sensor networks

Aminian, Mehdi; Sabaei, Masoud; Akbari, Mohammad Kazem

doi:10.1002/dac.2790

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…Propagation characteristics within stairwells are of interest for several possible applications, including public safety, Wi-Fi and wireless sensor networks [1][2][3][4]. Public safety spectrum in the USA has been recently allocated in the 4.95-5 GHz band, and our results are relevant for this application.…”

Section: Introductionmentioning

confidence: 90%

Path loss and delay spread for the stairwell channel at 5 GHz

Sun

Matolak

2015

Int J Communication

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SUMMARYMeasured channel characterization results are provided for six stairwells in the 5-GHz band, for two distinct stairwell types and two antenna polarizations. The stairwell channel is of interest for several applications, including Wi-Fi and public safety. Although other authors have reported stairwell path loss for other frequency bands (900 MHz, 2.4, 5.8 GHz), to our knowledge, ours is the first work at 5 GHz. More significantly, we report on floor attenuation factors and delay spread, which prior work has not thoroughly addressed. We measured power delay profiles and from these estimated propagation path loss and rootmean square delay spread (RMS-DS). Path loss exponents were between 5.5 and 8.3, and vertically polarized monopoles yield larger path loss and path loss exponents than horizontal polarization. Mean RMS-DS values ranged from 15 to 57 ns for link distances covering up to three flights of stairs.

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Section: Introductionmentioning

confidence: 90%

Path loss and delay spread for the stairwell channel at 5 GHz

Sun

Matolak

2015

Int J Communication

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“…The second paper entitled ‘DAMORD: an aggregation algorithm for mobile point source using rate‐distortion theory in wireless sensor networks’ [] by Aminian et al . proposes a new method for aggregating the data received from the mobile point source in a sensor network.…”

Section: Wireless Networkmentioning

confidence: 99%

Complex communication networks

Chen

Yang

Min

2014

Int J Communication

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Editorial Complex communication networksBecause of the rapid progress of network and communication technologies, a vast of social services is required eagerly these years. With the popularity of complex communication networks, this multidiscipline research issue on social services over complex communication networks poses great challenges. The content of this special issue can be clustered into three categories: Social networks, wireless networks, and data center networks. SOCIAL NETWORKSThe first paper entitled 'Modeling and performance analysis of information diffusion under information overload in Facebook-like social networks' [1] by Li and Sun focuses on social networks because an increasing number of people use them to broadcast information and stay connected with their friends. However, because of the information overload in social networks, it becomes increasingly difficult for users to find useful information. This paper takes Facebook-like social networks into account and proposes the models to capture the characters of the network, the user behaviors, and the process of information diffusion under information overload. On the basis of these models, the term type influence is introduced to characterize the information diffusion efficiency for users of a given type, which can be analyzed theoretically. Having noticed the inaccuracy of using type influence to estimate the information diffusion efficiency for a given user, the authors further introduce the term individual influence and propose a scalable approach to estimate it. Simulation results are consistent with the analysis results perfectly, and the average value of deviations for the proposed approach is about 1% if considering at least one-hop neighbors.The second paper entitled 'Sampling from social network to maintain community structure' [2] by Tong et al. proposes an improved forest fires algorithm, which can not only decrease the scale of network data but also maintain the previous network community structure well. The authors define two concepts, namely 'community degree' and 'center of community' in the algorithm. The algorithm was applied on five datasets. In order to make it convenient for the comparison between the sampling algorithm and the other six sampling algorithms under different parameters, the network community profile and Kolmogorov-Smirno D statistics are used to judge the consistency between the sample and the previous graph. Experiment results reveal that the improved algorithm is better than the other six sampling algorithms under most of the parameters. The efficiency and feasibility of the modified algorithm are also validated.The next paper entitled 'Risk computing based on capacity of risk-absorbing in virtual community environment ' [3] by Liu et al. pays attention to security issues in the virtual community (VC) environment because of the uncertainties. Many works use trust mechanisms as the enhancement. However, trust has flaws in some aspects as discussed in this paper. Under the analysis of the properties of VC, ...

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DAMORD: an aggregation algorithm for mobile point source using rate‐distortion theory in wireless sensor networks

Cited by 2 publications

References 27 publications

Path loss and delay spread for the stairwell channel at 5 GHz

Path loss and delay spread for the stairwell channel at 5 GHz

Complex communication networks

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