Presenting an Optimal Energy-Aware Locating Structure Using the Internet of Things and Device-to-Device Communications on Smartphones

Rostami, Ali Shokouhi; Mohanna, Farahnaz; Keshavarz, Hengameh

doi:10.1007/s11277-021-08114-x

Cited by 2 publications

(4 citation statements)

References 37 publications

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“…Subsequently, the exchange sequence 𝑠 𝑛 will be defined for the service region𝑛 as shown in Eq. (7).…”

Section: Interferencementioning

confidence: 99%

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Optimization-assisted Resource Exchange Framework for Device-to-device Communication in LTE-advanced System

2023

IJIES

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The proposed system focuses more on maintaining D2D links as long as possible which requires an optimum resource allocation initially. Considering this as the optimization issue, this work finds a solution to solve this by proposing a method based on a hybrid optimization concept with game theory. The hybrid concept includes the hybridization of ant colony optimization and Beluga whale optimization (BWO) with a game theory known as ant Beluga with game theory based optimization (AB-GTO) for resource exchange. This enables frequent updates of interference level indicators of each link and maintains consistent links between devices. The proposed solution will be under the consideration of minimization of interference and maximum sum rate as well. The adopted AB-GTObased REFD2DC in the LTE-A system employing AB-GTO has a high sum rate value over ACO-Game, T-REX RAN, T-REX DRAN, and T-REX CYC.

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“…Subsequently, the exchange sequence 𝑠 𝑛 will be defined for the service region𝑛 as shown in Eq. (7).…”

Section: Interferencementioning

confidence: 99%

“…When both of these devices are close to one another, such a transmission situation is wasteful in terms of resource use and transmission latency [4,5,6]. Proximity-based services, or ProSe, are the D2D communications for LTE-A, and the 3GPP has just began standardizing ProSe radio access networks [7,8].…”

mentioning

confidence: 99%

Optimization-assisted Resource Exchange Framework for Device-to-device Communication in LTE-advanced System

2023

IJIES

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“…This is exactly the process of solving the eigenvector problem in KLPP represented by Equation (11). Therefore, KLPP can be regarded as another special case of KGLPP that only preserves local structure information without considering global structure information.…”

Section: Selection Of Balance Parameter µmentioning

confidence: 99%

“…With the rapid development of technology, the demand for positioning technology on mobile terminals has also increased. Mobile-terminal-positioning technology has become a very important research area in the applications of the Internet of Things and deviceto-device communication [10,11]. In the Internet of Things (IoT), communication and collaboration between devices are crucial [12].…”

Section: Introductionmentioning

confidence: 99%

Drone-Assisted Fingerprint Localization Based on Kernel Global Locally Preserving Projection

Pan

Tan

et al. 2023

Drones

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To improve the limited number of fixed access points (APs) and the inability to dynamically adjust them in fingerprint localization, this paper attempted to use drones to replace these APs. Drones have higher flexibility and accuracy, can hover in different locations, and can adapt to different scenarios and user needs, thereby improving localization accuracy. When performing fingerprint localization, it is often necessary to consider various factors such as environmental complexity, large-scale raw data collection, and signal strength variation. These factors can lead to high-dimensional and complex nonlinear relationships in location fingerprints, thereby greatly affecting localization accuracy. In order to overcome these problems, this paper proposes a kernel global locally preserving projection (KGLPP) algorithm. The algorithm can reduce the dimensionality of location fingerprint data while preserving its most-important structural information, and it combines global and local information to avoid the problem of reduced information and poor dimensionality reduction effects, which may arise from considering only one. In the process of location estimation, an improved weighted k-nearest neighbor (IWKNN) algorithm is adopted to more accurately estimate the target’s position. Unlike the traditional KNN or WKNN algorithms, the IWKNN algorithm can choose the optimal number of nearest neighbors autonomously, perform location estimation and weight calculation based on the actual situation, and thus, obtain more-accurate location estimation results. The experimental results showed that the algorithm outperformed other algorithms in terms of both the average error and localization accuracy.

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Presenting an Optimal Energy-Aware Locating Structure Using the Internet of Things and Device-to-Device Communications on Smartphones

Cited by 2 publications

References 37 publications

Optimization-assisted Resource Exchange Framework for Device-to-device Communication in LTE-advanced System

Optimization-assisted Resource Exchange Framework for Device-to-device Communication in LTE-advanced System

Drone-Assisted Fingerprint Localization Based on Kernel Global Locally Preserving Projection

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