Big Spatial Data Systems - A review

Alsaedi, Noor; Jalal, Ali Sadeq Abdulhadi

doi:10.1109/iiceta54559.2022.9888481

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…With the increasing utilization of spatial data and the continuous upgrading of blockchain architecture, the demand for spatial blockchain platforms to serve a trusted decentralized application has emerged rapidly as suggested in [44] for trading, [14,45] for health applications. The positioning of an object in space is referred to as its spatial characteristics and spatial data is presented on a map in the form of geographic coordinates [46,47]. The research carried out by Eldrandaly et al [48] developed the IoST as an integrated framework connecting smart devices with an emphasis on gathering spatial data on objects.…”

Section: Literature Reviewmentioning

confidence: 99%

Trusted surveillance system based on blockchain-internet of spatial things for smart cities

2023

IJATEE

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Nowadays, smart cities are a result of frequent technological advancements that improve the quality of life for their residents [1]. For smart cities, video surveillance is an important application in private and public sectors to monitor and protect areas at different scales which brings many problems and challenges, such as security and privacy of data that is collected from heterogenous sources [2].*Author for correspondence Furthermore, many video events, a lack of quality, a significant transmission latency for video data, and the loss of video surveillance data integrity [3]. Moreover, these systems still lack precision for realtime reactions that may be delayed. In addition, environmental variations are a constraint for any system. These obstacles are problematic for video surveillance systems. By analyzing and comprehending the recorded videos, the processing of data using several proposed algorithms may aid in avoiding these issues through analysis and comprehension [2].The smart city is a significant application of the internet of things (IoT) and is predicted to connect

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Section: Literature Reviewmentioning

confidence: 99%

Trusted surveillance system based on blockchain-internet of spatial things for smart cities

2023

IJATEE

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“…Hence, the load balancing algorithm is an essential aspect of IoST's development [9]. The term "spatial data" refers to information about actual physical objects on Earth that is displayed on a map in the form of geographic coordinates [10]. IoST typically consists of four main layers.…”

Section: Introductionmentioning

confidence: 99%

Energy Aware Smart Car Parking System Based Internet of Spatial Things

Alsaedi,

Ali Sadeq Abdulhadi Jalal

2024

Iraqi Journal of ICT

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With the advent of smart and green cities, the development of energy-efficient smart parking systems has attracted researchers to reduce environmental pollution in smart cities due to reducing traffic congestion as well as waste of time and fuel consumption. This article investigates how to integrate the Internet of Spatial Things (IoST) with workload balancing and image processing in fog computing to build an energy-efficient smart parking system. The suggested system applies Q-Learning, a reinforcement learning method, to achieve workload balancing and then deploys image processing to detect vacant parking slots. The proposed method’s main objective of load balancing is to reduce energy consumption. The evaluation of the proposed system is done by comparing two case studies, fog-based and cloud-based IoST implementations, in the iFogSim simulator for various scenarios and scales. Moreover, it evaluates and compares the energy consumption of various devices. Experimental findings show that the devised system in fog-based IoST greatly reduces energy consumption with improves parking space availability in smart parking in contrast to the cloud-based deployment of smart car parking.

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“…According to experts, an object's spatial characteristics are defined by where it is located on the earth [16]. Internet of spatial things (IoST) is a paradigm that integrates embedded smart devices and is focused on gathering spatial information about objects [17]. The IoST creates a large amount of data over a period of time.…”

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confidence: 99%

Efficient automated car parking system based modified internet of spatial things in smart cities

Alsaedi

Jalal

2023

IJEECS

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The technological advances of smart cities have been progressively increasing to improve the quality of life to humans, especially in urban mobility. Parking appears to be a major issue, with residents needing to find a suitable parking space among many parking areas, resulting in time and fuel waste as well as environmental pollution. We propose in this paper a new automated system model that integrates reinforcement learning (RL), Q-learning, and image processing algorithms based on modified Internet of Spatial Things (IoST) architecture to optimize automated parking in smart cities. For demonstrating the efficiency of the proposed model, iFogSim simulation is used to reduce network usage and latency. Moreover, it deploys heterogeneous devices in multi layers and different scenarios. The experimental results show that the suggested system for automated car parking in fog-based placement-IoST network is feasible and effective. it minimizes latency and the total network usage compared to the cloud-based placement of the implemented system.

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Big Spatial Data Systems - A review

Cited by 4 publications

References 30 publications

Trusted surveillance system based on blockchain-internet of spatial things for smart cities

Trusted surveillance system based on blockchain-internet of spatial things for smart cities

Energy Aware Smart Car Parking System Based Internet of Spatial Things

Efficient automated car parking system based modified internet of spatial things in smart cities

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