Load balancing in the internet of things using fuzzy logic and shark smell optimization algorithm

Circuit World ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xin Rui ◽  
Junying Wu ◽  
Jianbin Zhao ◽  
Maryam Sadat Khamesinia
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Load Balancing ◽  
Integrated Circuits ◽  
Transportation Systems ◽  
Future Research ◽  
Optimization Approach ◽  
Content Type ◽  
And Control

Purpose Based on the positive features of the shark smell optimization (SSO) algorithm, the purpose of this paper is to propose a method based on this algorithm, dynamic voltage and frequency scaling (DVFS) model and fuzzy logic to minimize the energy consumption of integrated circuits of internet of things (IoT) nodes and maximize the load-balancing among them. Design/methodology/approach Load balancing is a key problem in any distributed environment such as cloud and IoT. It is useful when a few nodes are overloaded, a few are under-loaded and the remainders are idle without interrupting the functioning. As this problem is known as an NP-hard one and SSO is a powerful meta-hybrid method that inspires shark hunting behavior and their skill to detect and feel the smell of the bait even from far away, in this research, this study have provided a new method to solve this problem using the SSO algorithm. Also, the study have synthesized the fuzzy logic to counterbalance the load distribution. Furthermore, DVFS, as a powerful energy management method, is used to reduce the energy consumption of integrated circuits of IoT nodes such as processor and circuit bus by reducing the frequency. Findings The outcomes of the simulation have indicated that the proposed method has outperformed the hybrid ant colony optimization – particle swarm optimization and PSO regarding energy consumption. Similarly, it has enhanced the load balance better than the moth flame optimization approach and task execution node assignment algorithm. Research limitations/implications There are many aspects and features of IoT load-balancing that are beyond the scope of this paper. Also, given that the environment was considered static, future research can be in a dynamic environment. Practical implications The introduced method is useful for improving the performance of IoT-based applications. We can use these systems to jointly and collaboratively check, handle and control the networks in real-time. Also, the platform can be applied to monitor and control various IoT applications in manufacturing environments such as transportation systems, automated work cells, storage systems and logistics. Originality/value This study have proposed a novel load balancing technique for decreasing energy consumption using the SSO algorithm and fuzzy logic.

scholarly journals Green Computing in Sensors-Enabled Internet of Things: Neuro Fuzzy Logic-Based Load Balancing

Electronics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 384 ◽  
Author(s):  
Pankaj Kumar Kashyap ◽  
Sushil Kumar ◽  
Upasana Dohare ◽  
Vinod Kumar ◽  
Rupak Kharel
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Load Balancing ◽  
Clustering Algorithm ◽  
Average Energy ◽  
Residual Energy ◽  
Base Station ◽  
Inference System ◽  
Neuro Fuzzy

Energy is a precious resource in the sensors-enabled Internet of Things (IoT). Unequal load on sensors deplete their energy quickly, which may interrupt the operations in the network. Further, a single artificial intelligence technique is not enough to solve the problem of load balancing and minimize energy consumption, because of the integration of ubiquitous smart-sensors-enabled IoT. In this paper, we present an adaptive neuro fuzzy clustering algorithm (ANFCA) to balance the load evenly among sensors. We synthesized fuzzy logic and a neural network to counterbalance the selection of the optimal number of cluster heads and even distribution of load among the sensors. We developed fuzzy rules, sets, and membership functions of an adaptive neuro fuzzy inference system to decide whether a sensor can play the role of a cluster head based on the parameters of residual energy, node distance to the base station, and node density. The proposed ANFCA outperformed the state-of-the-art algorithms in terms of node death rate percentage, number of remaining functioning nodes, average energy consumption, and standard deviation of residual energy.

ICT as an enabler for sustainable development: reflections on opportunities and barriers

2015 ◽  
Vol 13 (1) ◽  
pp. 19-23 ◽  
Author(s):  
Richard Bull
Keyword(s):  
Energy Consumption ◽  
Digital Economy ◽  
Information And Communications Technology ◽  
First Century ◽  
Future Research ◽  
Daily Lives ◽  
Content Type ◽  
Comprehensive Knowledge ◽  
Future Challenges ◽  
Conceptual Paper

Purpose – Information and communications technology (ICT) offers a peculiar twenty-first century conundrum, as it offers both a cause and solution to rising carbon emissions. The growth in the digital economy is fueling increased energy consumption while affording new opportunities for reducing the environmental impacts of our daily lives. This paper responds and builds on Patrignani and Whitehouse’s overview of Slow Tech by providing examples of how ICT can be used to reduce energy. Encouraging examples are provided from the field of energy and buildings and implications for wider society are raised. Design/methodology/approach – This paper builds on the previous overview “The Clean Side of Slow Tech”, based on a comprehensive knowledge of literature of the latest developments in the field of digital economy, energy and sustainability. Findings – This paper provides clear and encouraging signs of how ICT can be used to contribute to sustainability through controlling systems more efficiently, facilitating behavioural changes and reducing energy consumption. Future challenges and recommendations for future research are presented. Originality/value – This conceptual paper presents the latest research into the use of ICT in energy reduction and offers cautious, but encouraging signs that while the environmental impact of ICT must not be overlooked, there are benefits to be had from the digital economy.

scholarly journals Industrial Internet of Things and Fog Computing to Reduce Energy Consumption in Drinking Water Facilities

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 282 ◽  
Author(s):  
Adrian Korodi ◽  
Ruben Crisan ◽  
Andrei Nicolae ◽  
Ioan Silea
Keyword(s):  
Drinking Water ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Fog Computing ◽  
Industrial Internet Of Things ◽  
Non Invasive ◽  
Data Accumulation ◽  
Industrial Internet ◽  
Reduce Energy Consumption ◽  
And Control

The industry is generally preoccupied with the evolution towards Industry 4.0 principles and the associated advantages as cost reduction, respectively safety, availability, and productivity increase. So far, it is not completely clear how to reach these advantages and what their exact representation or impact is. It is necessary for industrial systems, even legacy ones, to assure interoperability in the context of chronologically dispersed and currently functional solutions, respectively; the Open Platform Communications Unified Architecture (OPC UA) protocol is an essential requirement. Then, following data accumulation, the resulting process-aware strategies have to present learning capabilities, pattern identification, and conclusions to increase efficiency or safety. Finally, model-based analysis and decision and control procedures applied in a non-invasive manner over functioning systems close the optimizing loop. Drinking water facilities, as generally the entire water sector, are confronted with several issues in their functioning, with a high variety of implemented technologies. The solution to these problems is expected to create a more extensive connection between the physical and the digital worlds. Following previous research focused on data accumulation and data dependency analysis, the current paper aims to provide the next step in obtaining a proactive historian application and proposes a non-invasive decision and control solution in the context of the Industrial Internet of Things, meant to reduce energy consumption in a water treatment and distribution process. The solution is conceived for the fog computing concept to be close to local automation, and it is automatically adaptable to changes in the process’s main characteristics caused by various factors. The developments were applied to a water facility model realized for this purpose and on a real system. The results prove the efficiency of the concept.

scholarly journals Elaborating factors affecting visual control in a big room

2019 ◽  
Vol 19 (1) ◽  
pp. 34-47
Author(s):  
Jukka Majava ◽  
Harri Haapasalo ◽  
Kirsi Aaltonen
Keyword(s):  
Project Management ◽  
Construction Industry ◽  
Single Case ◽  
Management Strategies ◽  
Holistic Approach ◽  
Visual Control ◽  
Future Research ◽  
Content Type ◽  
Factors Affecting ◽  
And Control

Purpose The “big room” concept and lean philosophy have become increasingly popular in the construction industry. Visual control is a central part of lean philosophy and the big room concept; its aim is to improve information flow, joint problem-solving and real-time decision-making. Visual control facilitates effective project management by providing information on what work is performed and why, customer requirements, deadlines, work status and potential problems. This study aims to explore how visualisation supports project management and control in a big room and the factors that facilitate good visual control. Design/methodology/approach This research is based on the case study method, and the objective is to elaborate the current understanding of factors that affect visual control. The study includes a literature review and an empirical study of a large construction project. Findings The results indicate that many factors facilitate visual control. Despite the importance of facilities and tools, communication and teamwork are identified as the key factors. On a broader level, the results indicate a need for a holistic approach in developing visual management strategies and practices in the construction industry and in complex projects in particular. Research limitations/implications A single case may not be able to offer a generalised picture of this complex topic. However, the study provides novel insights for practitioners and researchers interested in the development of visual control and big rooms. Future research topics are also proposed. Originality/value While previous studies have identified many elements of successful big room implementation – including integration and early involvement, information sharing, tools and facilities – this study focusses specifically on the factors that facilitate visual control.

A practical review and taxonomy of fuzzy expert systems: methods and applications

2019 ◽  
Vol 27 (1) ◽  
pp. 81-136 ◽  
Author(s):  
Madjid Tavana ◽  
Vahid Hajipour
Keyword(s):  
Fuzzy Logic ◽  
Conference Proceedings ◽  
Expert Systems ◽  
Future Research ◽  
Specific Domain ◽  
Comprehensive Review ◽  
Content Type ◽  
Fuzzy Expert Systems ◽  
Journal Publications ◽  
Inference Systems

Purpose Expert systems are computer-based systems that mimic the logical processes of human experts or organizations to give advice in a specific domain of knowledge. Fuzzy expert systems use fuzzy logic to handle uncertainties generated by imprecise, incomplete and/or vague information. The purpose of this paper is to present a comprehensive review of the methods and applications in fuzzy expert systems. Design/methodology/approach The authors have carefully reviewed 281 journal publications and 149 conference proceedings published over the past 37 years since 1982. The authors grouped the journal publications and conference proceedings separately accordingly to the methods, application domains, tools and inference systems. Findings The authors have synthesized the findings and proposed useful suggestions for future research directions. The authors show that the most common use of fuzzy expert systems is in the medical field. Originality/value Fuzzy logic can be used to manage uncertainty in expert systems and solve problems that cannot be solved effectively with conventional methods. In this study, the authors present a comprehensive review of the methods and applications in fuzzy expert systems which could be useful for practicing managers developing expert systems under uncertainty.

Experimental verification of textured mechanical seal designed using multi-objective optimization

2019 ◽  
Vol 71 (6) ◽  
pp. 766-771 ◽  
Author(s):  
Xiuying Wang ◽  
Michael Khonsari ◽  
Siyuan Li ◽  
Qingwen Dai ◽  
Xiaolei Wang
Keyword(s):  
Leakage Rate ◽  
Free Form ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Mechanical Seals ◽  
Content Type ◽  
Multi Objective ◽  
Load Carrying ◽  
And Control ◽  
Good Agreement

Purpose This study aims to simultaneously enhance the load-carrying capacity and control the leakage rate of mechanical seals by optimizing the texture shape. Design/methodology/approach A multi-objective optimization approach is implemented to determine the optimal “free-form” textures and optimal circular dimples. Experiments are conducted to validate the simulation results. Findings The experimental coefficient of friction (COF) and leakage rate are in good agreement with the calculated results. In addition, the optimal “free-form” texture shows a lower COF and a lower leakage in most cases. Originality/value This work provides a method to optimize the surface texture for a better combination performance of mechanical seals.

Impact of international outsourcing on the value adding of industries

2014 ◽  
Vol 25 (3) ◽  
pp. 463-486 ◽  
Author(s):  
Seyed Hamed MoosaviRad ◽  
Sami Kara ◽  
Suphunnika Ibbotson
Keyword(s):  
Motor Vehicle ◽  
Future Research ◽  
Baseline Scenario ◽  
International Outsourcing ◽  
Output Analysis ◽  
Content Type ◽  
Aggregated Data ◽  
The Social ◽  
Parts Manufacturing ◽  
And Control

Purpose – The value adding of each industry represents the value difference between the outputs and inputs of that industry. The purpose of this paper is to investigate the effect of international outsourcing on the value adding of industries. Design/methodology/approach – Input output analysis and linear programming are used as for the research methodology. Australian Motor Vehicle and Parts Manufacturing (AMVPM) industry as an outsourcer and its main suppliers were selected for ten alternative international outsourcing scenarios in a case study. Findings – In all international outsourcing scenarios except the baseline scenario, the reduction in the value adding of Australia would be approximately three times more than the value adding reduction of the AMVPM industry. Moreover, the international outsourcing ratio has negative relationships with the value adding of the Australian industries and positive relationship with the international industries. Finally, it was found that the degree of supplier's dependency on the orders of the outsourcer effects the percentage reduction of supplier's value adding. Research limitations/implications – The aggregated data and the uncertainties in the technical coefficients are the main limitations of this research. The social and environmental costs, other tangible and intangible costs, as well as benefits of international outsourcing need to be further analysed in future research. Practical implications – This study would help decision makers at the macro level to analyse and control the effect of international outsourcing on the value adding of their economies. Originality/value – This study expands the current research at the industry level of international outsourcing by quantifying the effect of international outsourcing upon the value adding of all respected industries.

scholarly journals Internet of things and fuzzy logic for smart street lighting prototypes

2021 ◽  
Vol 10 (3) ◽  
pp. 528
Author(s):  
Mindit Eriyadi ◽  
Ade Gafar Abdullah ◽  
Hasbullah Hasbullah ◽  
Sandy Bhawana Mulia
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Light Intensity ◽  
Energy Savings ◽  
Monitoring And Control ◽  
Street Lighting ◽  
Intensity Control ◽  
The Status ◽  
Lighting Systems ◽  
And Control

Internet of things (IoT) and fuzzy logic are very useful in increasing the efficiency and effectiveness of a system; this study applies both to the street lighting systems. The prototype of a street lighting control and monitoring system has been completed. The status of lights that are on or off and the value of the light intensity can be monitored by using IoT. The intensity of the light is fuzzy controlled by utilizing the presence of vehicles and pedestrians around the lights. The prototype is made with a scale against real conditions. Data is processed and transmitted using a microcontroller and Wi-Fi on the IoT module. Mobile applications have been used on smartphone interfaces to monitor and control lamps wherever they are connected to the Internet. Changes in the status of lights to turn on or off are done by the relay module. The fuzzy light intensity control system uses sensors and microcontrollers by utilizing the presence of vehicles and pedestrians around the lights. Performance evaluation has been carried out on a miniature street lighting with the results of monitoring and control following its function. An analysis of the resulting energy savings has been demonstrated.

scholarly journals Iot Based Smart Energy Meter Monitoring and Billing System.

2020 ◽  
Vol 9 (4) ◽  
pp. 1480-1483
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Cloud Platform ◽  
Billing System ◽  
Energy Meter ◽  
And Control

Paper introduces a system which provides a platform for a consumer to monitor the meter reading via “ThingSpeak” and control the energy consumption, it will also support in keeping the track of energy meter billing. This system helps us to reduce turmoil’s and energy related dissent. The system is implemented using Atmega328P microcontroller and ESP8266 Wi-Fi module. This system do not require the replacement of the energy meter but we associate this system with the installed energy meter that benefit the consumer, the base for designing and implementation of a system is IoT (Internet of Things). The instantaneous data will be fetched from the meter and uploaded on the ‘ThingSpeak’ IoT cloud platform.

scholarly journals A Novel Fuzzy Based Method to Improve the Network Lifetime in Internet of Things

2019 ◽  
Vol 8 (4) ◽  
pp. 7190-7196
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Network Routing ◽  
Lossy Networks ◽  
Research Areas ◽  
Soft Computing Techniques ◽  
Constrained Environments

Internet of Things (IoT) opens the way for many of the research areas out of which Network lifetime extension is one of the craziest research areas. Proposing a design for any sensor network routing protocol needs to concentrate on extending the network's existence. Minimizing energy consumption leads to an extension of the life of the network. Routing Protocol for Low power and Lossy Networks (RPL) is the routing protocol designed by IETF especially which meets the necessities of the constrained environments in IoT. This research article attempts improve performance of the RPL protocol by incorporating the soft-computing techniques. Here, a fuzzy logic-based approach is used which considers DIO_MIN as the essential factor/metric to improve the performance of RPL (i.e., reducing the energy consumption). The COOJA simulator is used for performing the simulations and assessment purpose. Results obtained from this research prove that fuzzy logic can be exercised to improving routing protocol quality (i.e., RPL) in terms of energy consumption.

Sign in / Sign up

Export Citation Format

Share Document