Pub Date : 2021-07-01DOI: 10.15587/2706-5448.2021.235888
L. Bilous
The object of research is the socioeconomic model of the country in terms of energy efficiency factors in the process of economic development. The author has adapted the taxonomy of barriers and identified a new group of barriers inherent in the socioeconomic models of countries with economies in transition. Achieving the goals of sustainable development is possible by achieving overall energy efficiency, which is provided by the implemented innovative energy technologies. The ability of the studied subjects to perceive and promote innovative energy technologies is determined by the level of their economic development. When building the concept of energy efficient management, the studied subjects should take into account the exhaustion of primary resources against the background of growing needs. One of Harrington's logical functions was used to determine the level of economic development of the studied subjects. In the indicators of the particular desirability of Harrington's logical function, indicators from 0.37 to 0.8 are the potential for development, currently unrealized in the studied subjects, which is the path to sustainable development. According to certain levels of private preferences, economic agents are given recommendations on the economic feasibility of introducing innovative energy technologies. At the same time, the research process involved the identification and localization of energy efficiency barriers in the studied subjects, which expanded the analytical opportunities in terms of providing practical recommendations. Such recommendations, combined with the private preferences of the studied subjects, allowed to formulate a conceptual scheme to increase the efficiency of energy resources of economic development management. The author proposes measures: scaling of grant financing, decentralization of energy sources, introduction of knowledge, cooperation of communities and in the community, development of entrepreneurship and greening of the environment. Directions strengthen the motivation of management decisions in the context of the effective impact of energy factors on the dynamics of economic development in modern conditions and can be used in the development of current and strategic plans and programs.
{"title":"Minimization of Energy Efficiency Barriers in the Context of Optimization of Management Decisions in the Process of Sustainable Development","authors":"L. Bilous","doi":"10.15587/2706-5448.2021.235888","DOIUrl":"https://doi.org/10.15587/2706-5448.2021.235888","url":null,"abstract":"The object of research is the socioeconomic model of the country in terms of energy efficiency factors in the process of economic development. The author has adapted the taxonomy of barriers and identified a new group of barriers inherent in the socioeconomic models of countries with economies in transition. Achieving the goals of sustainable development is possible by achieving overall energy efficiency, which is provided by the implemented innovative energy technologies. The ability of the studied subjects to perceive and promote innovative energy technologies is determined by the level of their economic development. When building the concept of energy efficient management, the studied subjects should take into account the exhaustion of primary resources against the background of growing needs. One of Harrington's logical functions was used to determine the level of economic development of the studied subjects. In the indicators of the particular desirability of Harrington's logical function, indicators from 0.37 to 0.8 are the potential for development, currently unrealized in the studied subjects, which is the path to sustainable development. According to certain levels of private preferences, economic agents are given recommendations on the economic feasibility of introducing innovative energy technologies. At the same time, the research process involved the identification and localization of energy efficiency barriers in the studied subjects, which expanded the analytical opportunities in terms of providing practical recommendations. Such recommendations, combined with the private preferences of the studied subjects, allowed to formulate a conceptual scheme to increase the efficiency of energy resources of economic development management. The author proposes measures: scaling of grant financing, decentralization of energy sources, introduction of knowledge, cooperation of communities and in the community, development of entrepreneurship and greening of the environment. Directions strengthen the motivation of management decisions in the context of the effective impact of energy factors on the dynamics of economic development in modern conditions and can be used in the development of current and strategic plans and programs.","PeriodicalId":100779,"journal":{"name":"Journal of Energy Finance & Development","volume":"283 2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86548071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper studies consumer heterogeneity in the valuation of lifetime heating energy costs. The valuation is expressed as the willingness to pay higher upfront costs to obtain savings over the lifetime of the heating system. The analysis relies on administrative register data on new residential houses built by private persons in Finland during 2010-2011. The data allow estimating the WTP as a function of several observable household characteristics. The median WTP in the estimation sample is e8, with a range of e2 to e15. Households with higher income and education are estimated to have higher WTP. Other characteristics that impact the WTP are household debt, family type and size, current dwelling status and previous experience of building a house.
{"title":"Household heterogeneity in valuation of heating energy costs","authors":"Anna Sahari","doi":"10.2139/ssrn.3810702","DOIUrl":"https://doi.org/10.2139/ssrn.3810702","url":null,"abstract":"This paper studies consumer heterogeneity in the valuation of lifetime heating energy costs. The valuation is expressed as the willingness to pay higher upfront costs to obtain savings over the lifetime of the heating system. The analysis relies on administrative register data on new residential houses built by private persons in Finland during 2010-2011. The data allow estimating the WTP as a function of several observable household characteristics. The median WTP in the estimation sample is e8, with a range of e2 to e15. Households with higher income and education are estimated to have higher WTP. Other characteristics that impact the WTP are household debt, family type and size, current dwelling status and previous experience of building a house.","PeriodicalId":100779,"journal":{"name":"Journal of Energy Finance & Development","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91516321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the age of technology, big data is one of the most recent market and technological concerns. each day, hundreds of millions of incidents happen. In the estimation of big data activities, financial institutions are profoundly involved. As a result, each day, hundreds of millions of financial transactions take place in the financial world.. The aim of this study is to analyze the role of big data in financial institutions for financial fraud, for this purpose secondary data collected through literature review, Most of the knowledge provided in today's world is in an unstructured format and comes in terms of tempo, variety, and variability. It is difficult to extract relevant information from it, The finding depicted that unstructured big data play a positive role in the financial institutions for financial fraud .the ability to cope with larger data volumes and work with new, unstructured forms of data would greatly increase criminal activity identification. We conclude that the significant values of secret associated data. Automated detection of fraud in financial institutions has aimed to gather valuable information to reduce financial fraud. The foremost consistent, best-turned approach for recognizing rules and design of action that can help detect frauds or a financial crime is big data analytics and data mining techniques since it is the leading strategy to recognize similitude between an individual or bunch behavior recognized from numerous sources and cross-checking value-based information behavior. The study recommends the researcher find more challenges, opportunities, tools, and techniques of big data analytics, also find as how many organizations have implemented big data and how big data helps to generate sales.
{"title":"ROLE OF BIG DATA IN FINANCIAL INSTITUTIONS FOR FINANCIAL FRAUD","authors":"Syeda Nazish Zehra Rizvi","doi":"10.2139/ssrn.3800777","DOIUrl":"https://doi.org/10.2139/ssrn.3800777","url":null,"abstract":"In the age of technology, big data is one of the most recent market and technological concerns. each day, hundreds of millions of incidents happen. In the estimation of big data activities, financial institutions are profoundly involved. As a result, each day, hundreds of millions of financial transactions take place in the financial world.. The aim of this study is to analyze the role of big data in financial institutions for financial fraud, for this purpose secondary data collected through literature review, Most of the knowledge provided in today's world is in an unstructured format and comes in terms of tempo, variety, and variability. It is difficult to extract relevant information from it, The finding depicted that unstructured big data play a positive role in the financial institutions for financial fraud .the ability to cope with larger data volumes and work with new, unstructured forms of data would greatly increase criminal activity identification. We conclude that the significant values of secret associated data. Automated detection of fraud in financial institutions has aimed to gather valuable information to reduce financial fraud. The foremost consistent, best-turned approach for recognizing rules and design of action that can help detect frauds or a financial crime is big data analytics and data mining techniques since it is the leading strategy to recognize similitude between an individual or bunch behavior recognized from numerous sources and cross-checking value-based information behavior. The study recommends the researcher find more challenges, opportunities, tools, and techniques of big data analytics, also find as how many organizations have implemented big data and how big data helps to generate sales.","PeriodicalId":100779,"journal":{"name":"Journal of Energy Finance & Development","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87895223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Transition metal phosphides (TMPs) have the advantages of large theoretical capacity, good thermal stability and low cost, are widely concerned as potential electrode materials for lithium ion battery (LIBs). Herein, a mild method was used to load CoP on graphene oxide to prepare porous CoP@RGO materials. The CoP@RGO exhibits an excellent electrochemical performance due to its good porosity and excellent electronic conductivity. The initial discharge specific capacity of the CoP@RGO electrode reaches 1210 mAh g-1, after 50 cycles, the discharge specific capacity still reaches 745.25 mAh g-1. The outstanding performance of the CoP@RGO provides not only a novel insight into the modulated volume expansion of anode but also one of the most effective strategies for large-scale production of graphene-loaded new phosphide electrodes. The pseudocapacitance-controlled charge storage contributions of 80.2% at 0.8 mV s-1 sweep rates, which shows it exhibits higher pseudocapacitance -controlled charge storage contributions.
过渡金属磷化物(TMPs)具有理论容量大、热稳定性好、成本低等优点，作为锂离子电池(LIBs)的潜在电极材料受到广泛关注。本文采用温和的方法将CoP负载在氧化石墨烯上制备多孔CoP@RGO材料。CoP@RGO具有良好的孔隙率和导电性，具有优异的电化学性能。CoP@RGO电极的初始放电比容量达到1210 mAh g-1，循环50次后，放电比容量仍然达到745.25 mAh g-1。CoP@RGO的优异性能不仅为阳极的调制体积膨胀提供了新的见解，而且为大规模生产石墨烯负载的新型磷化电极提供了最有效的策略之一。在0.8 mV s-1扫描速率下，伪电容控制的电荷存储贡献为80.2%，表明其具有更高的伪电容控制的电荷存储贡献。
{"title":"Porous CoP@RGO With Pseudocapacitance Characteristics for Lithium Ion Storage","authors":"Jian-Jun Liu, Jun-li Li, Shiquan Guo, Shiping Yao, Feixiang Cheng, Jiaming Liu, Shubiao Xia","doi":"10.2139/ssrn.3799668","DOIUrl":"https://doi.org/10.2139/ssrn.3799668","url":null,"abstract":"Transition metal phosphides (TMPs) have the advantages of large theoretical capacity, good thermal stability and low cost, are widely concerned as potential electrode materials for lithium ion battery (LIBs). Herein, a mild method was used to load CoP on graphene oxide to prepare porous CoP@RGO materials. The CoP@RGO exhibits an excellent electrochemical performance due to its good porosity and excellent electronic conductivity. The initial discharge specific capacity of the CoP@RGO electrode reaches 1210 mAh g-1, after 50 cycles, the discharge specific capacity still reaches 745.25 mAh g-1. The outstanding performance of the CoP@RGO provides not only a novel insight into the modulated volume expansion of anode but also one of the most effective strategies for large-scale production of graphene-loaded new phosphide electrodes. The pseudocapacitance-controlled charge storage contributions of 80.2% at 0.8 mV s-1 sweep rates, which shows it exhibits higher pseudocapacitance -controlled charge storage contributions.","PeriodicalId":100779,"journal":{"name":"Journal of Energy Finance & Development","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73025084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper uses data from the 2015 Residential Energy Consumption Survey to explore the extent to which renters’ electricity use in the United States exceeds that of otherwise similar non-renters. Renting households are found to use approximately 9% more electricity than non-renters when controlling for location, socioeconomic, and many appliance-quantity controls. There are multiple factors that explain this extra electricity use, including inferior energy efficiency of appliances, behavioural factors, differences in bill payment responsibilities, and additional reliance by renters on electric space and water heaters. The paper finds that none of these factors are dominant. The phenomenon of renters’ (conditionally) higher electricity use is thus best understood as one that emerges from multiple sources.
{"title":"Factors Affecting Renters’ Electricity Use: More than Split Incentives","authors":"Rohan Best, Paul J. Burke, Shuhei Nishitateno","doi":"10.2139/ssrn.3693495","DOIUrl":"https://doi.org/10.2139/ssrn.3693495","url":null,"abstract":"This paper uses data from the 2015 Residential Energy Consumption Survey to explore the extent to which renters’ electricity use in the United States exceeds that of otherwise similar non-renters. Renting households are found to use approximately 9% more electricity than non-renters when controlling for location, socioeconomic, and many appliance-quantity controls. There are multiple factors that explain this extra electricity use, including inferior energy efficiency of appliances, behavioural factors, differences in bill payment responsibilities, and additional reliance by renters on electric space and water heaters. The paper finds that none of these factors are dominant. The phenomenon of renters’ (conditionally) higher electricity use is thus best understood as one that emerges from multiple sources.","PeriodicalId":100779,"journal":{"name":"Journal of Energy Finance & Development","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81103601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Increasing greenhouse gases in the environment is a major cause of climate change which affects the growth and economy of India. To mitigate these problems through power generation, the use of renewable energy sources needs to be increased. In order to utilize renewable energy sources, it is required to control the intermittent nature of renewable energy sources so it is better to generate power from small units for a large geographical area instead of one large unit for a single area. Based on this concept, this paper suggests an advanced IIoT based architecture of integrating small rated capacity hybrid energy systems in such a way that the intermittent nature of renewable energy sources can be easily controlled. This architecture needs to know best possible configuration of renewable energy sources for a hybrid energy system in the selected location and therefore this paper performs the feasibility, energy production and cost optimization analysis of three different configurations of energy system using the real time data of solar irradiance and wind speed of the selected location of Tamil Nadu, India. These configurations are PV-wind-grid, PV-wind-generator-grid and grid standalone. The result of this analysis indicates that the PV-wind-grid is the best possible configuration in terms of cost benefit and greater emission reduction.
{"title":"Technical, Economic, Feasibility and Comparative Analysis of Three Different Configurations of Energy System to Control Intermittency of Renewable Energy","authors":"Somudeep Bhattacharjee, Champa Nandi","doi":"10.2139/ssrn.3512405","DOIUrl":"https://doi.org/10.2139/ssrn.3512405","url":null,"abstract":"Increasing greenhouse gases in the environment is a major cause of climate change which affects the growth and economy of India. To mitigate these problems through power generation, the use of renewable energy sources needs to be increased. In order to utilize renewable energy sources, it is required to control the intermittent nature of renewable energy sources so it is better to generate power from small units for a large geographical area instead of one large unit for a single area. Based on this concept, this paper suggests an advanced IIoT based architecture of integrating small rated capacity hybrid energy systems in such a way that the intermittent nature of renewable energy sources can be easily controlled. This architecture needs to know best possible configuration of renewable energy sources for a hybrid energy system in the selected location and therefore this paper performs the feasibility, energy production and cost optimization analysis of three different configurations of energy system using the real time data of solar irradiance and wind speed of the selected location of Tamil Nadu, India. These configurations are PV-wind-grid, PV-wind-generator-grid and grid standalone. The result of this analysis indicates that the PV-wind-grid is the best possible configuration in terms of cost benefit and greater emission reduction.","PeriodicalId":100779,"journal":{"name":"Journal of Energy Finance & Development","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77131094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kun Duan, Xiaohang Ren, Yukun Shi, T. Mishra, Cheng Yan
We premise and model the dynamic interdependence between energy and carbon prices in Phase III of the European Union Emission Trading Scheme (EU ETS) in a heterogeneous impulse-response setting. Our research framework is based on the proposition that energy prices (e.g., oil, natural gas, and coal) would impact carbon prices negatively, but the impact magnitudes would be varied over the distribution of carbon and energy prices, having thus important policy implications. Applying a novel Quantile-on-Quantile (QQ) regression and the causality-in-quantiles approach, we show that the negative impacts are much stronger when carbon prices are at lower quantiles of the price distribution compared with that at the higher quantiles. In the face of different nature in energy price shocks, the asymmetric carbon price-response is an indication of the non-unique carbon market dynamics, the efficient management of which would require differentiated policy interventions. Robustness checks reassure the accuracy of our conclusions.
{"title":"How Interdependent are Energy and Carbon Markets? Evidence from a Quantile-on-Quantile Regression Approach","authors":"Kun Duan, Xiaohang Ren, Yukun Shi, T. Mishra, Cheng Yan","doi":"10.2139/ssrn.3440173","DOIUrl":"https://doi.org/10.2139/ssrn.3440173","url":null,"abstract":"We premise and model the dynamic interdependence between energy and carbon prices in Phase III of the European Union Emission Trading Scheme (EU ETS) in a heterogeneous impulse-response setting. Our research framework is based on the proposition that energy prices (e.g., oil, natural gas, and coal) would impact carbon prices negatively, but the impact magnitudes would be varied over the distribution of carbon and energy prices, having thus important policy implications. Applying a novel Quantile-on-Quantile (QQ) regression and the causality-in-quantiles approach, we show that the negative impacts are much stronger when carbon prices are at lower quantiles of the price distribution compared with that at the higher quantiles. In the face of different nature in energy price shocks, the asymmetric carbon price-response is an indication of the non-unique carbon market dynamics, the efficient management of which would require differentiated policy interventions. Robustness checks reassure the accuracy of our conclusions.","PeriodicalId":100779,"journal":{"name":"Journal of Energy Finance & Development","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83154515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, green bonds have gained popularity as the investment industry is looking for environmentally friendly instruments. Yet, green bonds fragment bond issues, which reduces liquidity and thereby increases financing costs. Moreover, most green bonds are used to refinance existing activities. As a result, the growth in environmentally-friendly initiatives is limited. Finally, the product and market design of green bonds is such that prices are unlikely to reflect environmental performance accurately. This makes it hard for investors to differentiate among green bonds and allows firms to get away with window-dressing (greenwashing). We propose to split green bonds into regular bonds and green certificates. We show that this design 1. makes market prices more informative about environmental performance, 2. leads to more liquid securities and therefore lower financing costs, and 3. provides incentives to start new environmentally friendly projects rather than refinance existing ones.
{"title":"The Next Step in Green Bond Financing","authors":"Dion Bongaerts, D. Schoenmaker","doi":"10.2139/ssrn.3389762","DOIUrl":"https://doi.org/10.2139/ssrn.3389762","url":null,"abstract":"In recent years, green bonds have gained popularity as the investment industry is looking for environmentally friendly instruments. Yet, green bonds fragment bond issues, which reduces liquidity and thereby increases financing costs. Moreover, most green bonds are used to refinance existing activities. As a result, the growth in environmentally-friendly initiatives is limited. Finally, the product and market design of green bonds is such that prices are unlikely to reflect environmental performance accurately. This makes it hard for investors to differentiate among green bonds and allows firms to get away with window-dressing (greenwashing). We propose to split green bonds into regular bonds and green certificates. We show that this design 1. makes market prices more informative about environmental performance, 2. leads to more liquid securities and therefore lower financing costs, and 3. provides incentives to start new environmentally friendly projects rather than refinance existing ones.","PeriodicalId":100779,"journal":{"name":"Journal of Energy Finance & Development","volume":"10 41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73717388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy efficiency and traffic management in Mobile Ad hoc Networks (MANETs) is a complex process due to the self-organizing nature of the nodes. Quality of service (QoS) of the network is achieved by addressing the issues concerned with load handling and energy conservation. This manuscript proposes a min-max scheduling (M2S) algorithm for energy efficiency and load balancing (LB) in MANETs. The algorithm operates in two phases: neighbor selection and load balancing. In state selection, the transmission of the node is altered based on its energy and packet delivery factor. In the load balancing phase, the selected nodes are induced by queuing and scheduling the process to improve the rate of load dissemination. The different processes are intended to improve the packet delivery factor (PDF) by selecting appropriate node transmission states. The transmission states of the nodes are classified through periodic remaining energy update; the queuing and scheduling process is dynamically adjusted with energy consideration. A weight-based normalized function eases neighbor selection by determining the most precise neighbor that satisfies transmission and energy constraints. The results of the proposed M2SLB (Min-Max Scheduling Load Balancing) proves the consistency of the proposed algorithm by improving the network throughput, packet delivery ratio and minimizing delay and packet loss by retaining higher remaining energy.
{"title":"A Min-Max Scheduling Load Balanced Approach to Enhance Energy Efficiency and Performance of Mobile ADHOC Networks","authors":"Venkatachalapathy K, Sundaranarayana D","doi":"10.2139/ssrn.3416460","DOIUrl":"https://doi.org/10.2139/ssrn.3416460","url":null,"abstract":"Energy efficiency and traffic management in Mobile Ad hoc Networks (MANETs) is a complex process due to the self-organizing nature of the nodes. Quality of service (QoS) of the network is achieved by addressing the issues concerned with load handling and energy conservation. This manuscript proposes a min-max scheduling (M2S) algorithm for energy efficiency and load balancing (LB) in MANETs. The algorithm operates in two phases: neighbor selection and load balancing. In state selection, the transmission of the node is altered based on its energy and packet delivery factor. In the load balancing phase, the selected nodes are induced by queuing and scheduling the process to improve the rate of load dissemination. The different processes are intended to improve the packet delivery factor (PDF) by selecting appropriate node transmission states. The transmission states of the nodes are classified through periodic remaining energy update; the queuing and scheduling process is dynamically adjusted with energy consideration. A weight-based normalized function eases neighbor selection by determining the most precise neighbor that satisfies transmission and energy constraints. The results of the proposed M2SLB (Min-Max Scheduling Load Balancing) proves the consistency of the proposed algorithm by improving the network throughput, packet delivery ratio and minimizing delay and packet loss by retaining higher remaining energy.","PeriodicalId":100779,"journal":{"name":"Journal of Energy Finance & Development","volume":"58 6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87723054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-03-31DOI: 10.34218/IJARET.10.2.2019.012
Syed Mohd Ali, Syeda Gauhar Fatima, Syeda Kausar Fatima, Syed Abdul Sattar
Energy is a serious resource parameter in Wireless Sensor Networks. Utilizing energy in an effectual manner is a challenging task in Wireless Sensor Networks. This paper presents an overview on various energy efficient routing protocols which fulfills the criteria of QoS parameters. Various energy effective and QoS based routing protocols have been compared. To improve the QoS in a network, data fusion and data accumulation is considered to be one of major energy saving technique. The routing protocols based on data aggregation, reduced cost routing and secure routing are also discussed in detail. Simulation tools like NS2, NS3, OMNET etc can be used to evaluate the network performance.
{"title":"Energy Efficient Routing in Wireless Sensor Networks Based on Qos","authors":"Syed Mohd Ali, Syeda Gauhar Fatima, Syeda Kausar Fatima, Syed Abdul Sattar","doi":"10.34218/IJARET.10.2.2019.012","DOIUrl":"https://doi.org/10.34218/IJARET.10.2.2019.012","url":null,"abstract":"Energy is a serious resource parameter in Wireless Sensor Networks. Utilizing energy in an effectual manner is a challenging task in Wireless Sensor Networks. This paper presents an overview on various energy efficient routing protocols which fulfills the criteria of QoS parameters. Various energy effective and QoS based routing protocols have been compared. To improve the QoS in a network, data fusion and data accumulation is considered to be one of major energy saving technique. The routing protocols based on data aggregation, reduced cost routing and secure routing are also discussed in detail. Simulation tools like NS2, NS3, OMNET etc can be used to evaluate the network performance.","PeriodicalId":100779,"journal":{"name":"Journal of Energy Finance & Development","volume":"80 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75763592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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