scholarly journals A New Cooperative MIMO Scheme Based on SM for Energy-Efficiency Improvement in Wireless Sensor Network

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Yuyang Peng ◽  
Jaeho Choi
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Sensor Node ◽  
Multiple Input Multiple Output ◽  
Wireless Sensor ◽  
Efficiency Improvement ◽  
Energy Efficiency Improvement ◽  
Size Limitation ◽  
Multiple Input ◽  
Input Multiple Output

Improving the energy efficiency in wireless sensor networks (WSN) has attracted considerable attention nowadays. The multiple-input multiple-output (MIMO) technique has been proved as a good candidate for improving the energy efficiency, but it may not be feasible in WSN which is due to the size limitation of the sensor node. As a solution, the cooperative multiple-input multiple-output (CMIMO) technique overcomes this constraint and shows a dramatically good performance. In this paper, a new CMIMO scheme based on the spatial modulation (SM) technique named CMIMO-SM is proposed for energy-efficiency improvement. We first establish the system model of CMIMO-SM. Based on this model, the transmission approach is introduced graphically. In order to evaluate the performance of the proposed scheme, a detailed analysis in terms of energy consumption per bit of the proposed scheme compared with the conventional CMIMO is presented. Later, under the guide of this new scheme we extend our proposed CMIMO-SM to a multihop clustered WSN for further achieving energy efficiency by finding an optimal hop-length. Equidistant hop as the traditional scheme will be compared in this paper. Results from the simulations and numerical experiments indicate that by the use of the proposed scheme, significant savings in terms of total energy consumption can be achieved. Combining the proposed scheme with monitoring sensor node will provide a good performance in arbitrary deployed WSN such as forest fire detection system.

Cross layer design with extensive virtual MIMO: FS-MUP optimization model for wireless sensor network

2020 ◽  
pp. 1-16
Author(s):  
Monali Prajapati ◽  
Dr. Jay Joshi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Multiple Input Multiple Output ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Virtual Mimo ◽  
Proposed Model ◽  
Multiple Input ◽  
Input Multiple Output

In the wireless sensor network (WSN), wireless communication is said to be the dominant power-consuming operation and it is a challenging one. Virtual Multiple-Input–Multiple-Output (V-MIMO) technology is considered to be the energy-saving method in the WSN. In this paper, a novel multihop virtual MIMO communication protocol is designed in the WSN via cross-layer design to enhance the energy efficiency, reliability, and end-to-end (ETE) and Quality of Service (QoS) provisioning. On the basis of the proposed protocol, the optimal set of parameters concerning the transmission and the overall consumed energy by each of the packets is found. Furthermore, the modeling of ETE latency and throughput of the protocol takes place with respect to the bit-error-rate (BER). A novel hybrid optimization algorithm referred as Flight Straight Moth Updated Particle Swarm Optimization (FS-MUP) is introduced to find the optimal BER that meets the QoS, ETE requirements of each link with lower power consumption. Finally, the performance of the proposed model is evaluated over the extant models in terms of Energy Consumption and BER as well.

scholarly journals Improving the economic performances of the beet-sugar industry

2008 ◽  
pp. 55-61 ◽  
Author(s):  
Bojana Prodanic ◽  
Aleksandar Jokic ◽  
Jelena Markovic ◽  
Zoltan Zavargo
Keyword(s):  
European Union ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Savings ◽  
General Trend ◽  
Sugar Industry ◽  
Regional Level ◽  
Efficiency Improvement ◽  
Considerable Saving ◽  
Energy Efficiency Improvement

General trend of free trade at the regional level as well as in the direction of European Union has motivated sugar factories located in Serbia to invest into technologies that are more efficient in order to make their products more competitive in the markets of Europe. Until 2005, the project of energy efficiency improvement in Serbian sugar factories was conducted in Crvenka and Zabalj. Now, they have energy consumption around 1 MJ/kg beet, in contrast to the previous consumption of 1.2 up to 1.5 MJ/kg beet. Further improvements are possible but investments would be high. A result of measurements taken during 2006, after the sugar factory "Donji Srem" - Pecinci was reconstructed showed that a considerable saving has been achieved. The first set of measurements showed that the energy consumption was 1.01 MJ/kg beet, which was 20% higher than intended, but at the same time energy savings were about 30% lower with respect to the values before the reconstruction.

scholarly journals Energy benchmarking in educational buildings in the city of Kragujevac - possibilities for energy efficiency improvement

2021 ◽  
Vol 18 (1) ◽  
pp. 95-114
Author(s):  
Ana Radojevic ◽  
Danijela Nikolic ◽  
Jasna Radulovic ◽  
Jasmina Skerlic
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Energy Sources ◽  
Efficiency Improvement ◽  
Energy Efficiency Improvement ◽  
Energy Benchmarking

The implementation of energy efficiency measures and use of renewable energy sources in educational buildings can significantly contribute to reducing energy consumption, but also to CO2 emissions in the entire public sector. The paper shows the comparison of energy consumption indicators for 61 elementary school buildings which have previously been divided in 12 groups, according to the period of construction and size, based on the national typology called TABULA, as the first step of further study on how to use the renewable energy sources. The aim of this paper is to use the energy benchmarking process to select representative facilities which are suitable for applying renewable energy sources, for their further energy efficiency improvement. Indicators of annual specific electricity consumption and CO2 emissions per unit area [kWh/m2] and per user [kWh/user] were calculated. After that, from two groups (in which the highest electricity consumption and CO2 emissions are 68.37% and 74.53% of the total consumption/ emissions), one representative facility was selected.

scholarly journals Energy Efficiency Optimization for Massive MIMO Non-Orthogonal Unicast and Multicast Transmission with Statistical CSI

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 857 ◽  
Author(s):  
Wang ◽  
Huang ◽  
You ◽  
Xiong ◽  
Li ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Power Allocation ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Maximization Problem ◽  
Multicast Transmission ◽  
Deterministic Equivalent ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Vector Valued

We study the energy efficiency (EE) optimization problem in non-orthogonal unicast and multicast transmission for massive multiple-input multiple-output (MIMO) systems with statistical channel state information of all receivers available at the transmitter. Firstly, we formulate the EE maximization problem. We reduce the number of variables to be solved and simplify this large-dimensional-matrix-valued problem into a real-vector-valued problem. Next, we lower the computational complexity significantly by replacing the objective with its deterministic equivalent to avoid the high-complex expectation operation. With guaranteed convergence, we propose an iterative algorithm on beam domain power allocation using the minorize maximize algorithm and Dinkelbach’s transform and derive the locally optimal power allocation strategy to achieve the optimal EE. Finally, we illustrate the significant EE performance gain of our EE maximization algorithm compared with the conventional approach through conducting numerical simulations.

Energy conservation opportunities: evidences from three industrial clusters in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shankara Naik ◽  
Virupaxi Bagodi
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Driving Forces ◽  
Industrial Clusters ◽  
Modern Technology ◽  
Efficiency Improvement ◽  
Content Type ◽  
Energy Efficiency Improvement ◽  
Energy Auditing ◽  
Barriers To Energy Efficiency

Purpose The purpose of the paper is to examine the monitoring of electrical energy consumption, measures adopted for reducing energy consumption, barriers to energy efficiency improvement and driving forces for energy efficiency improvement in three industrial clusters. It is intends to capture the managerial perspectives on energy saving practices and to identify the possible energy saving opportunities in small and medium enterprises (SMEs). Design/methodology/approach Three industrial clusters were identified for the study. Research instrument based in-person survey was conducted in which the authors directly administered the questionnaire to all the 181 organisations. This was thought of to facilitate not so well-educated respondents. The survey took about six months in which 110 units responded. Descriptive statistics, exploratory factor analysis and path analysis were used to draw inferences. Findings There is ample scope for energy savings in the studied clusters. Energy efficiency in many organisations has deteriorated. Their attitude to embrace new or modern technology is shunning. Management’s belief that prevailing technology is efficient, lack of skilled labour, lack of accessibility to updated or modern technology, and lack of compatibility of new technology are found to be the barriers to energy efficiency improvement. Benchmarking by appropriate governments and publicly financed energy auditing act as the driving forces. Originality/value The SMEs must use simple yet powerful energy auditing practices on regular basis to reduce energy consumption. This will not only result in lesser energy costs but also lessen the burden on environment. As these are predominantly small enterprises, appropriate governments interventions are essential to bring the desired change.

Transceiver Optimization for ToA-Based Localization of Mobile WSN

2016 ◽  
Vol 25 (09) ◽  
pp. 1650100 ◽  
Author(s):  
Mostafa Taheri ◽  
Seyed Ahmad Motamedi
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Multiple Input Multiple Output ◽  
Sensor Nodes ◽  
Mobile Nodes ◽  
Accurate Localization ◽  
Optimum Selection ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Localization Precision

One of the main parameters in wireless sensor networks (WSNs) is the design of energy-efficient protocols. And accuracy is another central goal of localization. Since sensor nodes run on battery power, any WSN application and accurate localization needs to be energy-efficient. In this paper, the accuracy of localization is increased by accurate measurement of the distance between the mobile sensors. Limit error in multiple-input multiple-output (MIMO) has been calculated by CRB method. Virtual MIMO (VMIMO) technique can obtain better localization precision and the localization is energy-efficient. Optimum selection of the number of the transceiver nodes is obtained by the lowest possible energy consumption, the existent localization error, and speed of nodes. Mathematical relation between energy consumption and localization of mobile nodes is presented and then verified by simulation. VMIMO decreases power of transmitters and this in turn will result in decreasing destructive effects of electromagnetic sensitivity (EMS) on body. Furthermore, optimized localization parameters will increase the efficiency of the system and network lifetime.

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