Power Consumption Estimation of SHA-3 for the Internet of Things Applications

Author(s):  
M. Tariq Banday ◽  
Issmat Shah Masoodi
Author(s):  
Issmat Shah Masoodi ◽  
Bisma Javid

There are various emerging areas in which profoundly constrained interconnected devices connect to accomplish specific tasks. Nowadays, internet of things (IoT) enables many low-resource and constrained devices to communicate, do computations, and make smarter decisions within a short period. However, there are many challenges and issues in such devices like power consumption, limited battery, memory space, performance, cost, and security. This chapter presents the security issues in such a constrained environment, where the traditional cryptographic algorithms cannot be used and, thus, discusses various lightweight cryptographic algorithms in detail and present a comparison between these algorithms. Further, the chapter also discusses the power awakening scheme and reference architecture in IoT for constrained device environment with a focus on research challenges, issues, and their solutions.


Author(s):  
Linh Manh Pham

Many domains of human life are more and moreimpacted by applications of the Internet of Things (i.e., IoT).The embedded devices produce masses of data day after dayrequiring a strong network infrastructure. The inclusion ofmessaging protocols like MQTT is important to ensure as fewerrors as possible in sending millions of IoT messages. Thisprotocol is a great component of the IoT universe due to itslightweight design and low power consumption. DistributedMQTT systems are typically needed in actual applicationenvironments because centralized MQTT methods cannotaccommodate a massive volume of data. Although beingscalable decentralized MQTT systems, they are not suited totraffic workload variability. IoT service providers may incurexpense because the computing resources are overestimated.This points to the need for a new approach to adapt workloadfluctuation. Through proposing a modular MQTT framework,this article provides such an elasticity approach. In order toguarantee elasticity of MQTT server cluster while maintainingintact IoT implementation, the MQTT framework used offthe-shelf components. The elasticity feature of our frameworkis verified by various experiments.


Author(s):  
Riklan Kango ◽  
Suhaedi Suhaedi ◽  
Fadli Awal Hasanuddin

This research aims to design an electric panel monitoring system using the Internet of Things technology in company buildings so that consumers can monitor real-time electricity consumption. The energy consumption monitoring method that we propose uses PM2100 by implementing a real-time monitoring function of the power consumption of a 3-phase electric panel. The monitoring system implementation results show that the value is very close to measuring the digital multimeter measuring instrument. The monitoring system produces a current measurement accuracy of 97.38% with an error of 2.62%, while the 3-phase voltage measurement error is 0.616%. This system design helps companies obtain information faster to be considered data to improve efficiency in the Company.


2021 ◽  
Vol 23 (09) ◽  
pp. 112-125
Author(s):  
Shagun Arora ◽  
◽  
Gurvinder Singh ◽  

The Internet of Things (IoT) is a network of physical devices, software, and hardware that communicate with one another. As the population ages, healthcare resources become scarce, and medical expenses rise, IoT-based solutions must be adapted to meet these issues in healthcare. To enhance the monitoring efficiency of the IoT-based healthcare system, several studies have been conducted. In this paper, the architecture utilized in the IoT, particularly cloud-integrated systems and security in IoT devices is explored. Factors like accuracy and power consumption are major concerns in the Internet of Things, therefore research projects aimed at enhancing the performance of IoT-based healthcare systems are highlighted. In this work, data management strategies in an IoT-based healthcare system with cloud capabilities are thoroughly examined. The performance of the IoT-based healthcare system is examined, as well as its benefits and drawbacks. Moreover, a comparative analysis is also done on some existing technologies that are utilized in healthcare. It has been observed from past studies that IoT protocol such as 6LoWPAN is mostly utilized in the domain of health care. The majority of research studies are effective in detecting many symptoms and accurately predicting illnesses. The IoT-based healthcare system built specifically for the elderly is an effective way to keep track of their medical concerns. High power consumption, a scarcity of resources, and security concerns major drawbacks of current systems are included in the proposed study.


Fog Computing ◽  
2018 ◽  
pp. 54-81
Author(s):  
Mahmoud Elkhodr ◽  
Seyed Shahrestani ◽  
Hon Cheung

This Chapter provides several comparable studies of some of the major evolving and enabling wireless technologies in the Internet of Things (IoT). Particularly, it focuses on the ZigBee, 6lowpan, Bluetooth Low Energy, LTE, and the different versions of Wi-Fi protocols including the IEEE 802.11ah. The studies, reported in this chapter, evaluate the capabilities and behaviors of these technologies in terms of various metrics including the data range and rate, network size, RF Channels and Bandwidth, Antenna design considerations, Power Consumption, and their Ecosystem. It is concluded that the requirements of each IoT application play a significant role in the selection of a suitable wireless technology.


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