Research perspective on energy-efficient protocols in IoT: emerging development of green IoT

Tupe, Umakant L.; Babar, Sachin D.; Kadam, Sonali; Mahalle, Parikshit N.

doi:10.1108/ijpcc-10-2019-0079

Cited by 6 publications

(3 citation statements)

References 107 publications

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“…Incorporating awake and sleeping techniques into smart livestock husbandry techniques would be beneficial for future research [114,115]. Researchers could apply techniques like sensor-and actuator-based energy utilization methodologies [116,117], cloud-based energy optimization [118,119], and network-level energy optimization [120][121][122] for energy consumption.…”

Section: Energy Consumptionmentioning

confidence: 99%

Systematic Review on Internet of Things in Smart Livestock Management Systems

Terence,

Immaculate,

Raj

et al. 2024

Sustainability

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The advent of the Internet of Things (IoT) has sparked the creation of numerous improved and new applications across numerous industries. Data collection from remote locations and remote object control are made possible by Internet of Things technology. The IoT has numerous applications in fields such as education, healthcare, agriculture, smart cities, and smart homes. Numerous studies have recently employed IoT technology to automate livestock farm operations. We looked at IoT-based livestock farm management systems in this study. To select the publications for this investigation, we conducted a systematic literature review (SLR) that complied with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. The selected articles were divided into different categories according to their applications. Sensors, actuators, the main controller (gateway), communication protocols, storage, energy consumption, the use of renewable energy sources, scalability, security, and prediction techniques applied to the data collected for future prediction were all examined in this study as IoT technologies used to monitor animals. In this study, we found that only 22% of the articles addressed security concerns, 24% discussed scalability, 16% discussed renewable energy, 18% attempted energy consumption, and 33% employed prediction techniques based on the collected data. The challenges and future directions of intelligent livestock farming are emphasized.

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Section: Energy Consumptionmentioning

confidence: 99%

Systematic Review on Internet of Things in Smart Livestock Management Systems

Terence,

Immaculate,

Raj

et al. 2024

Sustainability

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“…IoT devices are employed in a variety of industries, including manufacturing, engineering, computers, and small companies. Smart gadgets can investigate the surroundings, communicate with other intelligent items, and interact with people, allowing users to perform things more differently [24]. Because of fast developments in the underlying technology, IoT is enabling a plethora of unique applications that promise to improve the quality of our lives.…”

Section: Background Of the Internet Of Ingsmentioning

confidence: 99%

Promoting Information Privacy Protection Awareness for Internet of Things (IoT)

Mugariri

Abdullah

García-Torres

et al. 2022

Mobile Information Systems

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e Internet of ings (IoT) has had a considerable in uence on our daily lives by enabling enhanced connection of devices, systems, and services that extends beyond machine-to-machine interactions and encompasses a wide range of protocols, domains, and applications. However, despite privacy concerns shown by IoT users, little has been done to reduce and protect individual information exposure. It is extremely di cult to mitigate IoT devices from reidenti cation threats which is why it is still a major challenge for IoTusers to securely protect their information. e trust controls how we regulate privacy in our IoT platforms in the same way that it governs personal relationships. As IoT devices become increasingly linked, more data is shared across individuals, businesses, governments, and ecosystems. Technologies, sensors, machines, data, and cloud connections all rely largely on trust relationships that have been formed. With the rapid growth of additional types of IoT devices that are being introduced, it, therefore, expands privacy concerns and is di cult to develop trust with an IoT system or device without the option to regulate information privacy settings. Privacy has always been a barrier for many devices as they race for the early adoption of IoT technologies. Several Internet of ings devices or systems will continue to pose privacy threats. As a result, the main objective of this study was to examine the individual understanding of privacy and to promote information privacy protection awareness not only to IoT users but also to organizations that use IoT devices or platforms to run their day-to-day business operations. Furthermore, the objective extends to compare user knowledge and concerns about IoT privacy, as well as to identify any common attitudes and variances. However, in terms of enhancing individuals' knowledge, an artifact was developed to educate and enhance information privacy awareness among IoT users. A pre-and postquestionnaire was generated to test and validate user knowledge regarding information privacy protection in IoT. e study was conducted using a quantitative research method. Findings indicate that IoT users' awareness of information privacy protection turned out to be average, suggesting a need for education and awareness. Several participants stated that information privacy protection awareness is required within the community to educate, raise awareness, eliminate human error, and enable individuals to be conscious of their privacy when sur ng the Internet.

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“…Different optimization algorithms in MAC protocols make them energy efficient and help in developing intelligent systems to build green IoT (Tupe et al , 2022) which helps in machine–machine communication. Prediction of throughput using an exponential smoothing algorithm helps in identifying the misbehavior of MAC protocol (El Houssaini et al , 2023).…”

Section: Introductionmentioning

confidence: 99%

Cooperative optimization techniques in distributed MAC protocols – a survey

Subramanyam,

Jancy,

Nagabushanam

2023

IJPCC

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Purpose Cross-layer approach in media access control (MAC) layer will address interference and jamming problems. Hybrid distributed MAC can be used for simultaneous voice, data transmissions in wireless sensor network (WSN) and Internet of Things (IoT) applications. Choosing the correct objective function in Nash equilibrium for game theory will address fairness index and resource allocation to the nodes. Game theory optimization for distributed may increase the network performance. The purpose of this study is to survey the various operations that can be carried out using distributive and adaptive MAC protocol. Hill climbing distributed MAC does not need a central coordination system and location-based transmission with neighbor awareness reduces transmission power. Design/methodology/approach Distributed MAC in wireless networks is used to address the challenges like network lifetime, reduced energy consumption and for improving delay performance. In this paper, a survey is made on various cooperative communications in MAC protocols, optimization techniques used to improve MAC performance in various applications and mathematical approaches involved in game theory optimization for MAC protocol. Findings Spatial reuse of channel improved by 3%–29%, and multichannel improves throughput by 8% using distributed MAC protocol. Nash equilibrium is found to perform well, which focuses on energy utility in the network by individual players. Fuzzy logic improves channel selection by 17% and secondary users’ involvement by 8%. Cross-layer approach in MAC layer will address interference and jamming problems. Hybrid distributed MAC can be used for simultaneous voice, data transmissions in WSN and IoT applications. Cross-layer and cooperative communication give energy savings of 27% and reduces hop distance by 4.7%. Choosing the correct objective function in Nash equilibrium for game theory will address fairness index and resource allocation to the nodes. Research limitations/implications Other optimization techniques can be applied for WSN to analyze the performance. Practical implications Game theory optimization for distributed may increase the network performance. Optimal cuckoo search improves throughput by 90% and reduces delay by 91%. Stochastic approaches detect 80% attacks even in 90% malicious nodes. Social implications Channel allocations in centralized or static manner must be based on traffic demands whether dynamic traffic or fluctuated traffic. Usage of multimedia devices also increased which in turn increased the demand for high throughput. Cochannel interference keep on changing or mitigations occur which can be handled by proper resource allocations. Network survival is by efficient usage of valid patis in the network by avoiding transmission failures and time slots’ effective usage. Originality/value Literature survey is carried out to find the methods which give better performance.

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Research perspective on energy-efficient protocols in IoT: emerging development of green IoT

Cited by 6 publications

References 107 publications

Systematic Review on Internet of Things in Smart Livestock Management Systems

Systematic Review on Internet of Things in Smart Livestock Management Systems

Promoting Information Privacy Protection Awareness for Internet of Things (IoT)

Cooperative optimization techniques in distributed MAC protocols – a survey

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