Raspberry Pi Based Lightweight and Energy-Efficient Private Email Infrastructure for SMEs

Author(s):  
Sufian Hameed ◽  
Muhammad Arsal Asif
Author(s):  
Hai

In this paper, a new Raspberry PI supercomputer cluster architecture is proposed. Generally, to gain speed at petaflops and exaflops, typical modern supercomputers based on 2009-2018 computing technologies must consume between 6 MW and 20 MW of electrical power, almost all of which is converted into heat, requiring high cost for cooling technology and Cooling Towers. The management of heat density has remained a key issue for most centralized supercomputers. In our proposed architecture, supercomputers with highly energy-efficient mobile ARM processors are a new choice as it enables them to address performance, power, and cost issues. With ARM’s recent introduction of its energy-efficient 64-bit CPUs targeting servers, Raspberry Pi cluster module-based supercomputing is now within reach. But how is the performance of supercomputers-based mobile multicore processors? Obtained experimental results reported on the proposed approach indicate the lower electrical power and higher performance in comparison with the previous approaches.


2021 ◽  
pp. 399-411
Author(s):  
M. Chandrakala ◽  
G. Dhanalakshmi ◽  
K. Rajesh

Author(s):  
João Saffran ◽  
Gabriel Garcia ◽  
Matheus A. Souza ◽  
Pedro H. Penna ◽  
Márcio Castro ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2739 ◽  
Author(s):  
Muhammad Usman Younus ◽  
Saif ul Islam ◽  
Sung Won Kim

A wireless sensor network (WSN) has achieved significant importance in tracking different physical or environmental conditions using wireless sensor nodes. Such types of networks are used in various applications including smart cities, smart building, military target tracking and surveillance, natural disaster relief, and smart homes. However, the limited power capacity of sensor nodes is considered a major issue that hampers the performance of a WSN. A plethora of research has been conducted to reduce the energy consumption of sensor nodes in traditional WSN, however the limited functional capability of such networks is the main constraint in designing sophisticated and dynamic solutions. Given this, software defined networking (SDN) has revolutionized traditional networks by providing a programmable and flexible framework. Therefore, SDN concepts can be utilized in designing energy-efficient WSN solutions. In this paper, we exploit SDN capabilities to conserve energy consumption in a traditional WSN. To achieve this, an energy-aware multihop routing protocol (named EASDN) is proposed for software defined wireless sensor network (SDWSN). The proposed protocol is evaluated in a real environment. For this purpose, a test bed is developed using Raspberry Pi. The experimental results show that the proposed algorithm exhibits promising results in terms of network lifetime, average energy consumption, the packet delivery ratio, and average delay in comparison to an existing energy efficient routing protocol for SDWSN and a traditional source routing algorithm.


In latest days, the amount of cars has risen dramatically. As a result, free parking space has become a issue, particularly in metros. This raises the demand for the development of a semi-automated car parking system, which makes effective use of room and prevents traffic congestion. But the operation and maintenance of such a car parking system is very difficult. Earlier, the parking spaces available for parking were tracked by human staff, which was very time consuming. Here, we have created a semi-automatic parking scheme that provides a distinct parking slot for each vehicle. Therefore, the driver does not need to search for a vacant slot. This scheme also requires less manpower. Any number of cars entering or leaving the zone at the same time may also be accommodated. This stops the driver from stopping at the door. The system is extremely energy efficient by turning on the lamps in the parking area only when the vehicle is on the move, which makes it distinct from most parking schemes. A research on current systems shows that there are automated systems based on sensor networks or video systems that monitor the existence of vehicles and the accessibility of free parking spaces. They lack the benefit of giving each vehicle a distinctive slot, thus generating confusion when many vehicles arrive at the same time


This paper based on generation of power using wearable technologies from sustainable resources to establish Mobile Adhoc Network communication between multiple nodes using Raspberry pi-3 microprocessor. It mainly focuses on aiding in the search and rescue operations of explorers or mountaineers in case of avalanches or in case of some unfortunate disasters. An advanced routing mechanism called Better Approach to Mobile Adhoc Networking is used to establish communication between the explorers to transfer user location information to the base station.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 4066 ◽  
Author(s):  
Javier Corral-García ◽  
José-Luis González-Sánchez ◽  
Miguel-Ángel Pérez-Toledano

The Internet of Things (IoT) is faced with challenges that require green solutions and energy-efficient paradigms. Architectures (such as ARM) have evolved significantly in recent years, with improvements to processor efficiency, essential for always-on devices, as a focal point. However, as far as software is concerned, few approaches analyse the advantages of writing efficient code when programming IoT devices. Therefore, this proposal aims to improve source code optimization to achieve better execution times. In addition, the importance of various techniques for writing efficient code for Raspberry Pi devices is analysed, with the objective of increasing execution speed. A complete set of tests have been developed exclusively for analysing and measuring the improvements achieved when applying each of these techniques. This will raise awareness of the significant impact the recommended techniques can have.


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