Privacy and security of smart irrigation data using IOTA distributed ledger DOI
Shivashish Gour, Rohit Kumar Kasera, Tapodhir Acharjee

и другие.

Cyber-Physical Systems, Год журнала: 2025, Номер unknown, С. 1 - 30

Опубликована: Март 12, 2025

Язык: Английский

Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey DOI Creative Commons
Md. Najmul Mowla, Neazmul Mowla, A. F. M. Shahen Shah

и другие.

IEEE Access, Год журнала: 2023, Номер 11, С. 145813 - 145852

Опубликована: Янв. 1, 2023

The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization control, early-stage pest crop disease management, energy conservation. application protocols such as ZigBee, WiFi, SigFox, LoRaWAN are commonly employed collect real-time data for monitoring purposes. Embracing advanced technology imperative ensure efficient annual production. Therefore, this study emphasizes a comprehensive, future-oriented approach, delving into IoT-WSNs, wireless network protocols, their applications since 2019. It thoroughly discusses overview IoT WSNs, architectures summarization protocols. Furthermore, addresses recent issues challenges related IoT-WSNs proposes mitigation strategies. provides clear recommendations future, emphasizing integration aiming contribute future development smart systems.

Язык: Английский

Процитировано

60

IoT-Enabled Precision Agriculture: Developing an Ecosystem for Optimized Crop Management DOI Creative Commons
Shadi Atalla, Saed Tarapiah,

Amjad Gawanmeh

и другие.

Information, Год журнала: 2023, Номер 14(4), С. 205 - 205

Опубликована: Март 27, 2023

The Internet of Things (IoT) has the potential to revolutionize agriculture by providing real-time data on crop and livestock conditions. This study aims evaluate performance scalability wireless sensor networks (WSNs) in agriculture, specifically two scenarios: monitoring olive tree farms stables for horse training. proposes a new classification approach IoT based several factors introduces assessment metrics stationary mobile scenarios 6LowPAN networks. utilizes COOJA, realistic WSN simulator, model simulate Routing protocol low-power lossy (RPL) farming scenarios. simulation settings both fixed nodes are shared, with main difference being node mobility. characterizes different aspects requirements comparing average power consumption, radio duty cycle, network graph connectivity degrees. A is proposed moving animals within COOJA adopting random waypoint (RWP) represent movements. results show advantages using RPL routing networks, which supports dynamic topologies improves overall performance. framework experimentally validated tested through simulation, demonstrating suitability scenarios, efficient communication low latency. have practical implications precision an management solution agricultural farms. Overall, this provides comprehensive evaluation WSNs sector, offering demonstrate

Язык: Английский

Процитировано

56

Mapping smart farming: Addressing agricultural challenges in data-driven era DOI Open Access
Dongyang Huo, Asad Waqar Malik, Sri Devi Ravana

и другие.

Renewable and Sustainable Energy Reviews, Год журнала: 2023, Номер 189, С. 113858 - 113858

Опубликована: Окт. 20, 2023

Язык: Английский

Процитировано

44

Enhancing Water Management in Smart Agriculture: A Cloud and IoT-Based Smart Irrigation System DOI Creative Commons
Bouali Et-taibi, Mohamed Riduan Abid, El‐Mahjoub Boufounas

и другие.

Results in Engineering, Год журнала: 2024, Номер 22, С. 102283 - 102283

Опубликована: Май 21, 2024

It is widely acknowledged that traditional agricultural practices must effectively address the increasing global demand for food while facing water scarcity and climate change challenges. The imperative environmentally sustainable approaches has never been more urgent. In response, IoT-based Smart Agriculture emerged as a promising solution. can significantly bolster development by integrating renewable energy sources, particularly in arid regions with abundant sunlight. Real-time control systems utilizing big data acquisition processing are pivotal this advancement. This study introduces cloud-based smart irrigation system to connect numerous small-scale farms centralize pertinent data. optimizes usage through comprehensive collection, storage, analysis. Leveraging insights from facilitate informed decision-making regarding management, thereby fostering conservation efforts, regions. Additionally, research explores weather prediction services enhance control, during intermittent rainy periods, within real-world testbed powered solar energy. incorporates sophisticated management system. showcases Farm prototype leveraging Internet of Things, embedded systems, low-cost Wireless Sensor Networks, NI CompactRIO controller, Cloud Computing. Encouragingly, results demonstrate tangible improvements conservation. Furthermore, deployment methodology outlined provides clear roadmap be readily adapted similar endeavors. © 2023 Elsevier Inc. All rights reserved.

Язык: Английский

Процитировано

32

Securing the Internet of Things in Artificial Intelligence Era: A Comprehensive Survey DOI Creative Commons
Mamoona Humayun, Noshina Tariq,

Majed Alfayad

и другие.

IEEE Access, Год журнала: 2024, Номер 12, С. 25469 - 25490

Опубликована: Янв. 1, 2024

The Internet of Things (IoT) has revolutionized various domains, enabling interconnected devices to communicate and exchange data. integration Artificial Intelligence (AI) in IoT systems further enhances their capabilities potential benefits. Unfortunately, the era AI, ensuring privacy security faces novel specific challenges. is imperative, necessitating comprehensive strategies, including comprehension challenges, implementation AI methodologies, adoption resilient frameworks, handling ethical concerns construct dependable secure systems. It vital note that term 'security' encompasses a more view than cyberattacks alone. Therefore, with an emphasis on securing against cyberattacks, this survey also includes physical threats IoT. investigates complexities solutions for systems, placing particular AI-based techniques. paper undertakes categorization challenges associated security, utilization presents frameworks underscores considerations, provides insights derived from practical case studies. Furthermore, sheds light emerging trends concerning era. This significant contributions understanding establishing through exhaustive examination present condition ramifications it.

Язык: Английский

Процитировано

18

Advancements and Challenges in IoT Simulators: A Comprehensive Review DOI Creative Commons
Reham Almutairi, Giacomo Bergami, Graham Morgan

и другие.

Sensors, Год журнала: 2024, Номер 24(5), С. 1511 - 1511

Опубликована: Фев. 26, 2024

The Internet of Things (IoT) has emerged as an important concept, bridging the physical and digital worlds through interconnected devices. Although idea devices predates term "Internet Things", which was coined in 1999 by Kevin Ashton, vision a seamlessly integrated world been accelerated advancements wireless technologies, cost-effective computing, ubiquity mobile This study aims to provide in-depth review existing emerging IoT simulators focusing on their capabilities real-world applications, discuss current challenges future trends simulation area. Despite substantial research domain, many studies have narrow focus, leaving gap comprehensive reviews that consider broader development metrics, such device mobility, energy models, Software-Defined Networking (SDN), scalability. Notably, there is lack literature examining simulators' supporting renewable sources integration with Vehicular Ad-hoc Network (VANET) simulations. Our seeks address this gap, evaluating ability simulate complex, large-scale scenarios meet specific developmental requirements, well field simulation. systematic analysis identified several significant gaps literature. A primary concern generic simulator capable effectively simulating various across different domains within environment. As result, versatile required diverse occurring applications. Additionally, notable security concerns, particularly battery depletion attacks, are increasingly relevant systems. Furthermore, need for further investigation regarding traffic VANET environments. In addition, it noteworthy underrepresented simulations, despite increasing global emphasis environmental sustainability. result these gaps, imperative develop more advanced adaptable tools designed multifaceted opportunities domain.

Язык: Английский

Процитировано

16

Blockchain-Enabled Authenticated Key Agreement Scheme for Mobile Vehicles-Assisted Precision Agricultural IoT Networks DOI
Anusha Vangala, Ashok Kumar Das,

Ankush Mitra

и другие.

IEEE Transactions on Information Forensics and Security, Год журнала: 2022, Номер 18, С. 904 - 919

Опубликована: Дек. 20, 2022

Precision farming has a positive potential in the agricultural industry regarding water conservation, increased productivity, better development of rural areas, and income. Blockchain technology is alternative for storing sharing farm data as it reliable, transparent, immutable, decentralized. Remote monitoring an field requires security systems to ensure that any sensitive information exchanged only among authenticated entities network. To this end, we design efficient blockchain-enabled key agreement scheme mobile vehicles-assisted precision Internet Things (IoT) networks called $AgroMobiBlock$ . The limited existing work on authentication shows passive usage blockchains with very high costs. proposes novel idea using elliptic curve operations active hybrid blockchain over vehicles low computation communication Formal informal analysis along formal verification Automated Validation Security Protocols Applications (AVISPA) software tool have shown robustness against man-in-the-middle, impersonation, replay, physical capture, ephemeral secret leakage attacks other attacks. blockchain-based simulation large-scale nodes computational time increase network block sizes. Moreover, real-time testbed experiments been performed show practical usefulness proposed scheme.

Язык: Английский

Процитировано

59

Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation DOI Creative Commons

Md Reazul Islam,

Khondokar Oliullah, Md. Mohsin Kabir

и другие.

Journal of Agriculture and Food Research, Год журнала: 2023, Номер 14, С. 100880 - 100880

Опубликована: Ноя. 23, 2023

Agriculture plays a vital role in feeding the growing global population. But optimizing crop production and resource management remains significant challenge for farmers. This research paper proposes an innovative ML-enabled IoT device to monitor soil nutrients provide accurate recommendations. The utilizes FC-28 sensor, DHT11 JXBS-3001 sensor collect real-time data on composition, moisture, humidity, temperature, nutrient levels. collected is transmitted server using MQTT protocol. Machine learning algorithms are employed analyze generate customized recommendations, including possible high-yielding list, fertilizer names, its amount based requirements nutrients. Furthermore, applied fertilizers treatments field during stored database. As result, it has become determine quality of produce at consumer level through mobile app. system's effectiveness evaluated experiments, comparing performance with traditional methods. results demonstrate device's ability enhance productivity optimize utilization, promoting sustainable agricultural practices food security. contributes IoT-enabled agriculture, demonstrating potential ML techniques improving management, facilitating informed decision-making about fertilizers, assessing produced crops level.

Язык: Английский

Процитировано

32

Elliptic Curve Cryptography-Based Scheme for Secure Signaling and Data Exchanges in Precision Agriculture DOI Open Access
Zaid Ameen Abduljabbar, Vincent Omollo Nyangaresi, Hend Muslim Jasim

и другие.

Sustainability, Год журнала: 2023, Номер 15(13), С. 10264 - 10264

Опубликована: Июнь 28, 2023

Precision agriculture encompasses automation and application of a wide range information technology devices to improve farm output. In this environment, smart collect exchange massive number messages with other servers over public channels. Consequently, farming is exposed diverse attacks, which can have serious consequences since the sensed data are normally processed help determine agricultural field status facilitate decision-making. Although myriad security schemes has been presented in literature curb these challenges, they either poor performance or susceptible attacks. paper, an elliptic curve cryptography-based scheme presented, shown be formally secure under Burrows–Abadi–Needham (BAN) logic. addition, it semantically demonstrated offer user privacy, anonymity, unlinkability, untraceability, robust authentication, session key agreement, secrecy does not require deployment verifier tables. withstand side-channeling, physical capture, eavesdropping, password guessing, spoofing, forgery, replay, hijacking, impersonation, de-synchronization, man-in-the-middle, privileged insider, denial service, stolen device, known session-specific temporary terms performance, proposed protocol results 14.67% 18% reductions computation communication costs, respectively, 35.29% improvement supported features.

Язык: Английский

Процитировано

31

A high performance-oriented AI-enabled IoT-based pest detection system using sound analytics in large agricultural field DOI Open Access
Md. Akkas Ali, Rajesh Kumar Dhanaraj, Anand Nayyar

и другие.

Microprocessors and Microsystems, Год журнала: 2023, Номер 103, С. 104946 - 104946

Опубликована: Окт. 4, 2023

Язык: Английский

Процитировано

29