Enabling Location-Based Services in Data Centers

Kant, Krishna; Udar, N.; Viswanathan, R.

doi:10.1109/mnet.2008.4694170

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…After this step, we determine the distance error correction factor, which is the main outcome of this proposed work. In order to calculate the distance error with respect to each anchor, we calculate D_Err A with the following Equation (16). In this, we find the error in hop distance that is developed due to the use of average hop distance in case of DV-hop.…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…Moreover, there are some challenges in range‐based methods like the line of sight and fading of signals. Wireless sensor network has a very critical role in various applications such as surveillance, medical sector, environmental issues, home related application, coal mines, and even to find the data center location in the cloud network are few of them.…”

Section: Introductionmentioning

confidence: 99%

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Design and analysis of distance error correction–based localization algorithm for wireless sensor networks

Prashar

Jyoti

Kumar

2018

Trans Emerging Tel Tech

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Localization error is the main criteria to decide the efficiency on any localization approach. In case of range‐free hop‐based localization approaches, position coordinates estimation is done through the common steps like the calculation of the minimum hop count, hop size, and then later on applying the multilateration or least square approach. There are many improvements that have been made in the form of various algorithms through some changes in the common steps for the reduction of localization error. It has been observed that the existing algorithms are still having the highest value of localization error. To overcome the deficiencies in the existing algorithms, a novel distance error correction metric–based approach has been introduced. This paper presents a distance error correction–based algorithm (DEC‐hop) for the hop‐based localization approach for a wireless sensor network. Distance‐based error correction factor that is introduced in this paper further reduces the localization error value to some extent. For measuring the effectiveness and the preciseness of the given approach, it is inspected with other improved algorithms based on DV‐hop. Simulation results have confirmed that the proposed error correction–based algorithm outperforms the other variety of improved hop‐based algorithms. Results are analyzed in terms of various factors like the localization error, accuracy, and error variance against the parameters of interest taken as node amount, anchor ratio, and communication range of the node.

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Section: Proposed Algorithmmentioning

confidence: 99%