Alternating optimization algorithms for power adjustment and receive filter design in multihop wireless sensor networks

•Download as DOCX, PDF•

0 likes•65 views

NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar

Engineering

Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Alternating Optimization Algorithms for Power
Adjustment and Receive Filter Design in
Multihop Wireless Sensor Networks
Abstract
In this paper, we consider a multihop wireless sensor network (WSN) with multiple relay nodes
for each hop where the amplify-and-forward (AF) scheme is employed. We present algorithmic
strategies to jointly design linear receivers and the power allocation parameters via an alternating
optimization approach subject to different power constraints, which include global, local, and
individual constraints. Two design criteria are considered: The first criterion minimizes the mean
square error (MSE), and the second criterion maximizes the sum rate of the WSN. We derive
constrained minimum mean square error (MMSE) and constrained maximum sum-rate
expressions for the linear receivers and the power allocation parameters that contain the optimal
complex amplification coefficients for each relay node. An analysis of the computational
complexity and the convergence of the algorithms is also presented. Computer simulations show
good performance of our proposed methods in terms of bit error rate (BER) and sum rate
compared with the method with equal power allocation and an existing power allocation scheme.

SYSTEM SPECIFICATION
Software Specification
Operating system : Linux (Ubuntu)
Software : Network Simulator 2.35
Programming languages : Tool Command Language, AWK, C++
Hardware Specification
Main processor : Dual Core
Hard disk capacity : 80GB
Cache memory : 2 GB
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement (Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (NearMaruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com

What's hot

Artificial neural network (ANN) is becoming an attractive estimation and regression technique in many control applications due to its parallel computing nature and high learning capability. There has been a lot of effort in employing the ANN in shunt active power filter (APF) control applications. Adaptive Linear Neuron (ADALINE) and feed-forward multilayer neural network (MNN) are the most commonly used ANN techniques to extract fundamental and/or harmonic components present in the nonlinear currents. This paper aims to provide an in-depth understanding on realizing ADALINE and feed-forward MNN-based control algorithms for shunt APF. A step-by-step procedure to implement these ANN-based techniques in MATLAB/Simulink environment is provided. Furthermore, a detailed analysis on the performance, limitation, and advantages of both methods is presented in the paper. The study is supported by conducting both simulation and experimental validations.

Application of artificial neural networks for shunt active power filter control

Asoka Technologies

A conventional distribution power flow analysis has to be improved regards the changes in distribution network. One of the changes is a grid operation because a new grid concept, e.g. micro-grid and aggregation, is aimed to be operated based on area itself. Consequently, each area can be actively operated in either grid connected mode or islanding mode. Hence, this paper proposes an asymmetrical power flow analysis using hybrid technique to support this flexible mode change. The hybrid technique offers an opportunity to analyze power flow in a decoupling way. This means that the power flow analysis can be performed separately in each grid area. Regards the distributed generation, this paper also introduces a model based on inverter-based operation, i.e. grid forming, grid supporting and grid parallel. The proposed asymmetrical hybrid load flow method is examined in three case studies, i.e. a verification study with the DIgSILENT PowerFactory, a demonstration of decoupling analysis approach and a performance study with the Newton-Raphson method.

Active Distribution Grid Power Flow Analysis using Asymmetrical Hybrid Techni...

IJECEIAES

Opportunistic routing algorithm for relay node selection in wireless sensor n...

LogicMindtech Nologies

Task: Execute a research project using data mining techniques Approach: The topic chosen was ‘Analysis and Forecasting of Power Factor for Optimum Electric Consumption in a Household.’ Research question – What can be the best short term range of forecast for power factor patterns so that optimum energy consumption can be achieved for a household? To answer the question, CRISM- DM method was used. The ARIMA machine learning model was developed using R. Findings: The best short term range of forecasts for the power factor was achieved for 6 months and 12 months duration using the ARIMA model. The MAPE value for the ARIMA model was around 1.83. Tools: Rstudio

Advance Data Mining - Analysis and forecasting of power factor for optimum el...

Shrikant Samarth

IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology

Cooperative ad hoc networks for energy efficient improve connectivity

eSAT Publishing House

The issue of electric power grid mode of optimization is one of the basic directions in power engineering research. Currently, methods other than classical optimization methods based on various bio-heuristic algorithms are applied. The problems of reactive power optimization in a power grid using bio-heuristic algorithms are considered. These algorithms allow obtaining more efficient solutions as well as taking into account several criteria. The Firefly algorithm is adapted to optimize the placement of reactive power sources as well as to select their values. A key feature of the proposed modification of the Firefly algorithm is the solution for the multi-objective optimization problem. Algorithms based on a bio-heuristic process can find a neighborhood of global extreme, so a local gradient descent in the neighborhood is applied for a more accurate solution of the problem. Comparison of gradient descent, Firefly algorithm and Firefly algorithm with gradient descent is carried out.

Firefly Algorithm to Opmimal Distribution of Reactive Power Compensation Units

IJECEIAES

ANN for Load Flow Studies

mjvshin

Distribution system Reconfiguration is the process of changing the topology of the distribution network by opening and closing switches to satisfy a specific objective. It is a complex, combinatorial optimization problem involving a nonlinear objective function and constraints. Grey Wolf Optimizer (GWO) is a recently developed metaheuristic search algorithm inspired by the leadership hierarchy and hunting strategy of grey wolves in nature. The objective of this paper is to determine an optimal network reconfiguration that presents the minimum power losses, considering network constraints, and using GWO algorithm. The proposed algorithm was tested using some standard networks (33 bus, 69 bus, 84 bus and 118 bus), and the obtained results reveal the efficiency and effectiveness of the proposed approach.

Optimum Network Reconfiguration using Grey Wolf Optimizer

TELKOMNIKA JOURNAL

Nowadays, the location and sizing of distributed generation (DG) units in power system network are crucial to be at optimal as it will affect the power system operation in terms of stability and security. In this paper, a new technique termed as Immune Log-Normal Evolutionary Programming (ILNEP) is applied to find the optimal location and size of distributed generation units in power system network. Voltage stability is considered in solving this problem. The proposed technique has been tested on the IEEE 26 bus Reliability Test System to find the optimal location and size of distributed generation in transmission network. In order to study the performance of ILNEP technique in solving DG Installation problem, the results produced by ILNEP were compared with other meta-heuristic techniques like evolutionary programming (EP) and artificial immune system (AIS). It is found that the proposed technique gives better solution in term of lower total system loss compared to the other two techniques.

29 16109 paper 098 ijeecs(edit)

IAESIJEECS

International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.

Al36228233

IJERA Editor

In this paper the use of artificial neural network in power system stability is studied. A predictive controller based on two neural networks is designed and tested on a single machine infinite bus system which is used to replace conventional power system stabilizers. They have been used for decades in power system to dampen small amplitude low frequency oscillation in power systems. The increases in size and complexity of power systems have cast a shadow on efficiency of conventional method. New control strategies have been proposed in many researches. Artificial Neural Networks have been studied in many publications but lack of assurance of their functionality has hindered the practical usage of them in utilities. The proposed control structure is modelled using a novel data exchange established between MATLAB and DIgSILENT power factory. The result of simulation proves the efficiency of the proposed structure.

ARTIFICIAL NEURAL NETWORK BASED POWER SYSTEM STABILIZER ON A SINGLE MACHINE ...

EEIJ journal

This paper proposes the method of applying Artificial Neural Network (ANN) with Back Propagation (BP) algorithm in combination or hybrid with Genetic Algorithm (GA) to propose load shedding strategies in the power system. The Genetic Algorithm is used to support the training of Back Propagation Neural Networks (BPNN) to improve regression ability, minimize errors and reduce the training time. Besides, the Relief algorithm is used to reduce the number of input variables of the neural network. The minimum load shedding with consideration of the primary and secondary control is calculated to restore the frequency of the electrical system. The distribution of power load shedding at each load bus of the system based on the phase electrical distance between the outage generator and the load buses. The simulation results have been verified through using MATLAB and PowerWorld software systems. The results show that the Hybrid Gen-Bayesian algorithm (GA-Trainbr) has a remarkable superiority in accuracy as well as training time. The effectiveness of the proposed method is tested on the IEEE 37 bus 9 generators standard system diagram showing the effectiveness of the proposed method.

A hybrid artificial neural network-genetic algorithm for load shedding

IJECEIAES

Comprehensive Review on Maximum Power Point Tracking Methods for SPV System

IRJET Journal

L367174

IJERA Editor

The fast advancement of hardware technology has enabled the development of tiny and powerful sensor nodes, which are capable of sensing, computation and wireless communication. This revolutionizes the deployment of wireless sensor network for monitoring some area and collecting regarding information. However, limited energy constraint presents a major challenge such vision to become reality. Data communication between nodes consumes a large portion of the total energy consumption of the WSNs. Consequently, Wireless sensor nodes are very small in size and have limited processing capability with very low battery power. This restriction of low battery power makes the sensor network prone to failure. Data aggregation may be effective technique because it reduces the number of packets to be sent to sink by aggregating the similar packets. Data aggregation has been put forward as an essential technique to achieve power efficiency in sensor networks. The main goal of data aggregation is to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced. The data aggregation technique of precision allocation helps to balance the energy consumption of network. By optimum precision allocation given to node, helps to control the frequency of communication between node and base station. This way, effectively it reduces less communication between sources and sink, which helps to reduce the energy consumption. In experiment work, assigning same precision, random precision and precision based on distance and residual energy of node to all nodes in network and summarize energy consumption of node. By periodically adjusting the precision of node extend the life time of network compared to without aggregation and random precision allocation method. This technique suits to problem of continues data measuring, like temperature, humidity, water level, etc.

Precision based data aggregation to extend life of wsn

Gaurang Rathod

Emc model for modern power electronic systems for

eSAT Publishing House

Abstract Electromagnetic compatibility of power electronic systems becomes an engineering discipline and it should be considered at the beginning stage of a design. Thus, a power electronics design becomes more complex and challenging and it requires a good communication between EMI and Power electronics experts. Three major issues in designing a power electronic system are Losses, EMI and Harmonics. These issues affect system cost, size, efficiency and quality and it is a tradeoff between these factors when we design a power converter, filter. In this paper the EMC model is discussed which should be considered while designing the power electronics systems. The design considerations in this paper help us to remove losses, harmonics & EMI elimination and power quality improvement of Power systems. Index Terms: Converter, EMI, EMC, Filter, Harmonics

Emc model for modern power electronic systems for harmonics, losses & emi...

eSAT Journals

F011136467

IOSR Journals

Placing Distributed Generation (DG) into a power network should be planned wisely. In this paper, the comparison of having different installation arrangement of real-power DGs in transmission system for loss control is presented. Immune-brainstorm-evolutionary programme (IBSEP) was chosen as the optimization technique. It is found that optimizing fixed-size DGs locations gives the highest loss reduction percentage. Apart from that, scattered small-sized DGs throughout a network minimizes transmission loss more than allocating one biger-sized DG at a location.

Performance comparison of distributed generation installation arrangement in ...

journalBEEI

This paper presents a Hybrid Artificial Neural Network (HANN) for chiller system Measurement and Verification (M&V) model development. In this work, hybridization of Evolutionary Programming (EP) and Artificial Neural Network (ANN) are considered in modeling the baseline electrical energy consumption for a chiller system hence quantifying saving. EP with coefficient of correlation (R) objective function is used in optimizing the neural network training process and selecting the optimal values of ANN initial weights and biases. Three inputs that are affecting energy use of the chiller system are selected; 1) operating time, 2) refrigerant tonnage and 3) differential temperature. The output is hourly energy use of building air-conditioning system. The HANN model is simulated with 16 different structures and the results reveal that all HANN structures produce higher prediction performance with R is above 0.977. The best structure with the highest value of R is selected as the baseline model hence is used to determine the saving. The avoided energy calculated from this model is 132944.59 kWh that contributes to 1.38% of saving percentage.

17 9740 development paper id 0014 (edit a)

IAESIJEECS

What's hot (20)

Application of artificial neural networks for shunt active power filter control

Active Distribution Grid Power Flow Analysis using Asymmetrical Hybrid Techni...

Opportunistic routing algorithm for relay node selection in wireless sensor n...

Advance Data Mining - Analysis and forecasting of power factor for optimum el...

Cooperative ad hoc networks for energy efficient improve connectivity

Firefly Algorithm to Opmimal Distribution of Reactive Power Compensation Units

ANN for Load Flow Studies

Optimum Network Reconfiguration using Grey Wolf Optimizer

29 16109 paper 098 ijeecs(edit)

Al36228233

ARTIFICIAL NEURAL NETWORK BASED POWER SYSTEM STABILIZER ON A SINGLE MACHINE ...

A hybrid artificial neural network-genetic algorithm for load shedding

Comprehensive Review on Maximum Power Point Tracking Methods for SPV System

L367174

Precision based data aggregation to extend life of wsn

Emc model for modern power electronic systems for

Emc model for modern power electronic systems for harmonics, losses & emi...

F011136467

Performance comparison of distributed generation installation arrangement in ...

17 9740 development paper id 0014 (edit a)

Viewers also liked

Autonomous deployment for load balancing k surface coverage in sensor networks

LogicMindtech Nologies

By passing infected areas in wireless sensor networks using bpr

LogicMindtech Nologies

IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.

A Comparative Result Analysis of Text Based Steganographic Approaches

iosrjce

Autonomous deployment for load balancing k surface coverage in sensor networks

LogicMindtech Nologies

Zaragoza turismo 335

Saucepolis blog & Hotel Sauce

A New Classifier Based onRecurrent Neural Network Using Multiple Binary-Outpu...

iosrjce

Shortcut Keys for IV2009 - Single Keys

rajagopalannaidu rajvijai

Cooperative load balancing and dynamic channel allocation for cluster based m...

LogicMindtech Nologies

An optimal distance-based transmission strategy for lifetime maximization of ...

LogicMindtech Nologies

Image s tiwari.jpg

sushil tiwari

An efficient distributed trust model for wireless sensor networks

LogicMindtech Nologies

Real-time Moving Object Detection using SURF

iosrjce

Good laboratory practices

suraj p rajan

How to Interpret a Graph

Dan Ryugo

Csi pavia notizie_n_43_del_15.12.15

CSI PAVIA

Population Control Impact Essay

Muhamad Dzaki Albiruni

Viewers also liked (16)

Autonomous deployment for load balancing k surface coverage in sensor networks

By passing infected areas in wireless sensor networks using bpr

A Comparative Result Analysis of Text Based Steganographic Approaches

Autonomous deployment for load balancing k surface coverage in sensor networks

Zaragoza turismo 335

A New Classifier Based onRecurrent Neural Network Using Multiple Binary-Outpu...

Shortcut Keys for IV2009 - Single Keys

Cooperative load balancing and dynamic channel allocation for cluster based m...

An optimal distance-based transmission strategy for lifetime maximization of ...

Image s tiwari.jpg

An efficient distributed trust model for wireless sensor networks

Real-time Moving Object Detection using SURF

Good laboratory practices

How to Interpret a Graph

Csi pavia notizie_n_43_del_15.12.15

Population Control Impact Essay

Similar to Alternating optimization algorithms for power adjustment and receive filter design in multihop wireless sensor networks

Energy efficient cooperative transmission for simultaneous wireless informati...

LogicMindtech Nologies

Nexgen Technology Address: Nexgen Technology No :66,4th cross,Venkata nagar, Near SBI ATM, Puducherry. Email Id: praveen@nexgenproject.com. www.nexgenproject.com Mobile: 9751442511,9791938249 Telephone: 0413-2211159. NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km

Ns2 2015 2016 titles abstract

Nexgen Technology

Ns2 2015 2016 titles abstract

Nexgen Technology

Studies on load flow in electrical distribution system have always been an area of interest for research from the previous few years. Various approaches and techniques are brought into light for load flow studies within the system and simulation tools are being used to work out on varied characteristics of system. This study concentrates on these approaches and the improvements made to the already existing techniques considering time and the algorithms complexity. Also, the paper explains the network reconfiguration (NR) techniques considered in reconfiguring radial distribution network (RDN) to reduce power losses in distribution system and delivers an approach to how various network reconfiguration techniques support loss reduction and improvement of reliability in the electrical distribution network.

Reliability improvement and loss reduction in radial distribution system wit...

IJECEIAES

Ieee transactions 2018 topics on wireless communications for final year stude...

tsysglobalsolutions

Power quality improvement of grid interconnected distribution system using fs...

eSAT Publishing House

Abstract This paper presents a fuzzy step size least mean square (LMS) algorithm for grid connected renewable energy source. The main objective is to mitigate the harmonics and the neutral current compensation. The conventional controllers may fail due to the rapid change in the dynamics of the highly non-linear system. The fuzzy step size least mean square (FSS-LMS) algorithm in handling theuncertainties and learning from the processes is proved to be advantageous while the inverter operating at fluctuatingoperating conditions. The inverter is controlled tocompensate the harmonics and current imbalance of a three phase four wire non-linear load with generatedrenewable power injection in to the grid.The grid will always supply/absorb a balanced set offundamental currents at unity power factor even in the presence of three phase four wire non-linear unbalance load at point of common coupling(PCC).The proposed system is developed and simulated inMATLAB/SimPowerSystem environment under differentoperating conditions.

Power quality improvement of grid interconnected distribution system using fs...

eSAT Journals

Cluster head election is a key technique used to reduce energy consumption and enhancing the throughput of wireless sensor networks. In this paper, a new energy efficient clustering (E2C) protocol for heterogeneous wireless sensor networks is proposed. Cluster head is elected based on the predicted residual energy of sensors, optimal probability of a sensor to become a cluster head, and its degree of connectivity as the parameters. The probability threshold to compete for the role of cluster head is derived. The probability threshold has been extended for multi-levels energy heterogeneity in the network. The proposed E2C protocol is simulated in MATLAB. Results obtained in the simulationshowthat performance of the proposed E2Cprotocol is betterthan stable election protocol (SEP), and distributed energy efficient clustering (DEEC) protocol in terms of energy consumption, throughput, and network lifetime.

Energy efficient clustering in heterogeneous

IJCNCJournal

Final year BE, B.Tech, ME, M.Tech projects along with our professionals for developing Real Time Applications in Emerging Technologies. We can support to your final year projects in all domains with latest technologies and simulation tool like NS2, NS3, Glomosim, Opnet, Matlab, IDL, Sumo, Gridsim, Bonita tool & Cloud deployments (Cloudsim, Google App Engine, Amazon Deployment, and Real time Cloud Deployment)also we are support for JOURNAL and CONFERENCE Preparation. ? TSYS Research and Development. 20/9 Sardar Patel Road, Janaki Complex, 4th Floor, Adyar, Chennai - 20? Tel : 91 44 42607879, 98411 03123. Website : http://www.tsysglobalsolutions.com/ http://tsysphdsupport.com/

Ieee transactions 2018 on wireless communications Title and Abstract

tsysglobalsolutions

The last few years have seen an increased interest in the potential use of wireless sensor networks (WSNs) in various fields like disastermanagementbattle field surveillance, and border security surveillance. In such applications, a large number of sensor nodes are deployed, which are often unattended and work autonomously. The process of dividing the network into interconnected substructures is called clustering and the interconnected substructures are called clusters. The cluster head (CH) of each cluster act as a coordinator within the substructure. Each CH acts as a temporary base station within its zone or cluster. It also communicates with other CHs. Clustering is a key technique used to extend the lifetime of a sensor network by reducing energy consumption. It can also increase network scalability. Researchers in all fields of wireless sensor network believe that nodes are homogeneous, but some nodes may be of different characteristics to prolong the lifetime of a WSN and its reliability. We have proposed an algorithm for better cluster head selection based on weights for different parameter that influence on energy consumption which includes distance from base station as a new parameter to reduce number of transmissions and reduce energy consumption by sensor nodes. Finally proposed algorithm compared with the WCA, IWCA algorithm in terms of number of clusters and energy consumption.

AN OPTIMIZED WEIGHT BASED CLUSTERING ALGORITHM IN HETEROGENEOUS WIRELESS SENS...

cscpconf

Wireless Sensor Networks (WSNs) assume a crucial part in the field of mechanization and control where detecting of data is the initial step before any automated job could be performed. So as to encourage such perpetual assignments with less vitality utilization proportion, clustering is consolidated everywhere to upgrade the system lifetime. Unequal Cluster-based Routing (UCR) [7] is a standout amongst the most productive answers for draw out the system lifetime and to take care of the hotspot issue that is generally found in equivalent clustering method. In this paper, we propose Tentative Route (TRS) Selection approach for irregular Clustered Wireless Sensor Networks that facilitates in decision an efficient next relay to send the data cumulative by Cluster Heads to the Base Station. Simulation analysis is achieved using the network simulator to demonstrate the effectiveness of the TRS method.

34 9141 it ns2-tentative route selection approach for edit septian

IAESIJEECS

Wireless Sensor network (WSN) is a network of low-cost, low-power, multifunctional, small size sensor nodes which are densely deployed inside a physical environment to collect, process and transmit the information to sink node. As Sensor nodes are generally battery-powered, it is necessary to balance between power consumption and energy storage capacity to sustain sensor node's operational life. Therefore one of the important challenge in WSN is to improve power consumption efficiently to prolong network lifetime by minimizing the amount of data transmissions throughout the network and maximizing node's low power residence time. In this paper, two energy optimization techniques, Cluster-Based energy efficient routing (CBER) scheme and extension to IEEE 802.15.4 standard by dynamic rate adaption and control for energy reduction (DRACER) protocol for wireless sensor networks has been reviewed. CBER technique increases network lifetime by reducing Hot Spot problem and end-to-end energy consumption using multi-hop wireless routing whereas DRACER protocol reduces network latency and average power consumption by minimizing network overhead using automatic data rate selection process. So, both of these techniques, if utilized in combination, it is possible to achieve very high energy efficiency in WSN

A Review Paper on Power Consumption Improvements in WSN

IJERA Editor

Chain Based Wireless Sensor Network Routing Using Hybrid Optimization (HBO An...

IJEEE

A WSN primary outline issue for a sensor system is protection of the vitality accessible at every sensor node. We propose to convey different, versatile base stations to delay the lifetime of the sensor system. We split the lifetime of the sensor system into equivalent stretches of time known as rounds. Base stations are migrated toward the begin of a round. Our strategy utilizes a whole number straight program to focus new areas for the base stations and in view of steering convention to guarantee vitality proficient directing amid every round. We propose four assessment measurements and look at our answer utilizing these measurements. Taking into account the reproduction results we demonstrate that utilizing various, versatile base stations as per the arrangement given by our plans would altogether expand the lifetime of the sensor system.

wsn

Saurabh Singh

13_28739 - IJAES ok 2929-2938

Vennila Raja

Maintaining the energy conservation is considered as an important approach to increase the lifetime of WSN. In fact, an energy reduction mechanism is considered as the main concept to enhance the lifespan of the network. In this paper, the performance analysis/evaluation of optimization technique, specifically, Ant Colony Optimization (ACO) and modified ACO (m-ACO) in the routing method are investigated. This network analysis is done by 100 iterations and differentiated with 50, 75 and 100 numbers of nodes. Finally, experimental results illustrate that the performance of m-ACO algorithm obtained the obvious performance, which is comparatively better than ACO algorithm, because it improves the routing efficiency by pheromone evaporation control and energy threshold value. It demonstrates that m-ACO algorithm gives better results than ACO in terms of throughput (1.41%), transmission delay (1.43%), packet delivery ratio (1.41%), energy consumption (2.05%), and the packet loss (9.70%). The convergence rate is analysed for ACO and m-ACO algorithms with respect to 100 number of iterations for WSNs.

Investigation of Ant Colony Optimization Algorithm for Efficient Energy Utili...

IJCNCJournal

Maintaining the energy conservation is considered as an important approach to increase the lifetime of WSN. In fact, an energy reduction mechanism is considered asthe main concept to enhance the lifespan of the network. In this paper, the performance analysis/evaluation of optimization technique, specifically, Ant Colony Optimization (ACO) and modified ACO (m-ACO) in the routing method are investigated. This network analysis is done by 100 iterations and differentiated with 50, 75 and 100 numbers of nodes. Finally, experimental results illustrate that the performance of m-ACO algorithm obtained the obvious performance,which is comparatively better than ACO algorithm, because it improves the routing efficiency by pheromone evaporation control and energy threshold value. It demonstrates that m-ACO algorithm gives better results than ACO in terms of throughput (1.41%), transmission delay (1.43%), packet delivery ratio (1.41%), energy consumption (2.05%), and the packet loss (9.70%). The convergence rate is analysed for ACO and m-ACO algorithms with respect to 100 number of iterations for WSNs.

Investigation of Ant Colony Optimization Algorithm for Efficient Energy Utili...

IJCNCJournal

This project illustrates the execution of a three stage delivery static compensator DSTATCOM by using a back propagation BP control algorithm for its capacities, such as load balancing and zero voltage management of reactive power compensation under non linear loads. We use BP based control algorithm to obtain the critical dynamic weight estimate here. And the BP based control algorithm is often used for estimating the receptive power portions of the load streams necessary for estimating the reference source streams. Regulation of power efficiency devices through neural networks is the new area of study in the field of power engineering. The extraction of the harmonic components defines the output of the balancing instruments. Here we use DSTATCOM and UPFC as balancing instruments. A DSTATCOM model is developed using a computerized signal processor and its implementation is focused on various working conditions. The execution of DSTATCOM is found to be suitable for various kinds of burdens with the proposed control algorithm. The BP based control algorithm is used to derive the fundamental weighted value of the active and reactive power components of the load present. Back propagation algorithm trained by the sample will detect the power quality signal issue in real time. Continuity, differentiability, non decreasing momotomy are the key features of this algorithm. The process of UPFC is close to that of DSTATCOM, although the only difference is that it does not have the device shut down in worse circumstances. The simulation model is developed with ANFIS and its output is studied under different operating conditions. The output of ANFIS is found to be satisfactory with the proposed control algorithm for different types of loads. The suggested method shall be checked by the results of MATLAB Simulink. Rohit Mishra | Ashish Bhargava "To Study, Analysis and Implementation of Power Quality Improvement Using DSTATCOM with ANN (Back Propagation Algorithm)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, URL: https://www.ijtsrd.com/papers/ijtsrd47521.pdf Paper URL : https://www.ijtsrd.com/engineering/electrical-engineering/47521/to-study-analysis-and-implementation-of-power-quality-improvement-using-dstatcom-with-ann-back-propagation-algorithm/rohit-mishra

To Study, Analysis and Implementation of Power Quality Improvement Using DSTA...

ijtsrd

Advance in the WIRELESS SENSOR NETWORK (WISENET) technology is energy efficient routing protocols that promises a wide range of potential applications in both civilian and military areas. In the WISNET the sensor node have a limited transmission range and their processing and storage capabilities as well as their energy sources are limited. So the Equalized Cluster Head Election Routing Protocol (ECHERP) and PEGASIS with Double Cluster Head (PDCH) pursues energy conservation through balanced clustering for Energy Efficiency. In WSN, energy efficient routing protocol is important to increase the network lifetime. ECHERP and PDCH both protocol claims to be energy efficient.

energy efficiency routing protocol for ws ns

INFOGAIN PUBLICATION

Wireless Sensor Network (WSN) consists of spatially distributed autonomous devices that cooperatively sense physical or environmental conditions. Due to the non-uniform node deployment, the energy consumption among nodes are more imbalanced in cluster-based wireless sensor networks this factor will affect the network life time. Cluster-based routing and EADC algorithm through an efficient energy aware clustering algorithm is employed to avoid imbalance network distribution. Our proposed protocol EADC aims at minimizing the overall network overhead and energy expenditure associated with the multi hop data retrieval process while also ensuring balanced energy consumption among SNs and prolonged network life time .A optimal one-hop based selective node in building cluster structures consisted of member nodes that route their measured data to their assigned cluster head is identified to ensure efficient communication. The proposed routing algorithm increases forwarding tasks of the nodes in scarcely covered areas by forcing cluster heads to choose nodes with higher energy and fewer member nodes and finally, achieves imbalanced among cluster head and improve the network life time.

An Adaptive Energy Aware Clustering Based Reliable Routing for in-Network Agg...

Editor IJCATR

Similar to Alternating optimization algorithms for power adjustment and receive filter design in multihop wireless sensor networks (20)

Energy efficient cooperative transmission for simultaneous wireless informati...

Ns2 2015 2016 titles abstract

Reliability improvement and loss reduction in radial distribution system wit...

Ieee transactions 2018 topics on wireless communications for final year stude...

Power quality improvement of grid interconnected distribution system using fs...

Energy efficient clustering in heterogeneous

Ieee transactions 2018 on wireless communications Title and Abstract

AN OPTIMIZED WEIGHT BASED CLUSTERING ALGORITHM IN HETEROGENEOUS WIRELESS SENS...

34 9141 it ns2-tentative route selection approach for edit septian

A Review Paper on Power Consumption Improvements in WSN

Chain Based Wireless Sensor Network Routing Using Hybrid Optimization (HBO An...

wsn

13_28739 - IJAES ok 2929-2938

Investigation of Ant Colony Optimization Algorithm for Efficient Energy Utili...

To Study, Analysis and Implementation of Power Quality Improvement Using DSTA...

energy efficiency routing protocol for ws ns

An Adaptive Energy Aware Clustering Based Reliable Routing for in-Network Agg...

Recently uploaded

Jaipur ❤CALL GIRL 0000000000❤CALL GIRLS IN Jaipur ESCORT SERVICE❤CALL GIRL IN We are Providing Contact Simra - 0000000000 WEBSITE FOR RENT : https://happyescortgirl.com/ MAILTO : BOOKKDREAMGIRL@GMAIL.COM HOT & SEXY MODELS // COLLEGE GIRLS AVAILABLE FOR COMPLETE ENJOYMENT WITH HIGH PROFILE INDIAN MODEL AVAILABLE HOTEL & HOME ★ SAFE AND SECURE HIGH CLASS SERVICE AFFORDABLE RATE SATISFACTION,UNLIMITED ENJOYMENT. ★ All Meetings are confidential and no information is provided to any one at any cost. ★ EXCLUSIVE PROFILes Are Safe and Consensual with Most Limits Respected ★ Service Available In: - HOME *Star Hotel Service .In Call & Out call SeRvIcEs : ★ A-Level ★ Strip-tease ★ BBBJ (Bareback Blowjob)Receive advanced sexual techniques in different mode make their life more pleasurable. ★ Spending time in hotel rooms ★ BJ (Blowjob Without a Condom) ★ Completion (Oral to completion) ★ Covered (Covered blowjob Without a Condom)

Jaipur ❤CALL GIRL 0000000000❤CALL GIRLS IN Jaipur ESCORT SERVICE❤CALL GIRL IN...

jabtakhaidam7

In the dynamic landscape of energy storage, choosing the right battery pack is a critical decision that significantly impacts performance, efficiency, and overall product design. This webinar aims to unravel the complexities surrounding standard and custom battery packs (primarily lithium), providing you with a comprehensive understanding to make informed decisions. We'll embark on a journey to explore the fundamental distinctions between standard off-the-shelf battery packs and their bespoke counterparts tailored to specific applications. We will delve into the nuance of what is defined as a standard battery pack along with its benefits, limitations, and how it caters to broad market needs. Simultaneously, we will dissect the world of custom battery packs, diving into the advantages they offer in terms of precise energy requirements, form factors, and unique design considerations. Whether you are a product designer, engineer, or industry professional, this webinar is designed to equip you with the knowledge necessary to navigate the intricate terrain of battery pack selection. Join us for this webinar as we navigate through the intricacies of standard and custom battery packs, empowering you to make strategic decisions that align with your project goal. For more information on our battery pack solutions, visit https://www.epectec.com/batteries/.

Standard vs Custom Battery Packs - Decoding the Power Play

Epec Engineered Technologies

NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...

Amil baba

PE 459 LECTURE 2- natural gas basic concepts and properties

sarkmank1

Introduction to Serverless with AWS Lambda

Omar Fathy

“HOSTEL MANAGEMENT SYSTEM” is a software developed for managing various activities in the hostel. For the past few years the number of educational institutions are increasing rapidly. Thereby the number of hostels are also increasing for the accommodation of the students studying in this institution. And hence there is a lot of strain on the person who are running the hostel and software’s are not usually used in this context. This particular project deals with the problems on managing a hostel and avoids the problems which occur when carried manually.

Hostel management system project report..pdf

Kamal Acharya

457503602-5-Gas-Well-Testing-and-Analysis-pptx.pptx

rouholahahmadi9876

Online electricity billing project report..pdf

Kamal Acharya

FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads

Arindam Chakraborty, Ph.D., P.E. (CA, TX)

Unit 4_Part 1 CSE2001 Exception Handling and Function Template and Class Temp...

drmkjayanthikannan

From customer value engagements to hands-on production support, our Services span across every stage of our customers digital transformation journey, to help ensure that every customer is successful in their adoption of our solutions. • Implementation, Upgrade, Migration, and Maintenance Services • On-Premises and On-Cloud • COTS Training Services; On-Site and Virtual • Software Support Services; Legacy and 3DEXPERIENCE • Value Engagement & Blueprinting • Specialized Consulting and Support Services • Customized Training Services • Automation and Configuration Services • Technical Resource Augmentation Services • Project Management • Know-how Training (mentoring) and Resource Augmentation

Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...

Arindam Chakraborty, Ph.D., P.E. (CA, TX)

Generative AI or GenAI technology based PPT

bhaskargani46

Work-Permit-Receiver-in-Saudi-Aramco.pptx

JuliansyahHarahap1

Introduction to Data Visualization,Matplotlib.pdf

sumitt6_25730773

Learn the concepts of Thermodynamics on Magic Marks

Magic Marks

Tamil Call Girls Bhayandar WhatsApp +91-9930687706, Best Service

meghakumariji156

Motoring and generation Armature circuit equation for motoring and generation, Types of field excitations - separately excited, shunt and series. Open circuit characteristic of separately excited DC generator, back EMF with armature reaction, voltage build-up in a shunt generator, critical field resistance and critical speed. V-I characteristics and torque-speed characteristics of separately excited shunt and series motors. Speed control through armature voltage. Losses, load testing and back-to-back testing of DC machines

DC MACHINE-Motoring and generation, Armature circuit equation

BhangaleSonal

HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx

SCMS School of Architecture

Built environment is known for its capacity, capability, role, relevance and importance to change the quality of life of the occupants and communities. Presentation focuses on options which need to be leveraged to make buildings sustainable, cost-effective, energy efficient, resource efficient, qualitative over its entire life-cycle through designing, construction, operation. It calls for making buildings green and sustainable.

COST-EFFETIVE and Energy Efficient BUILDINGS ptx

JIT KUMAR GUPTA

Design For Accessibility: Getting it right from the start

Quintin Balsdon

Recently uploaded (20)

Jaipur ❤CALL GIRL 0000000000❤CALL GIRLS IN Jaipur ESCORT SERVICE❤CALL GIRL IN...

Standard vs Custom Battery Packs - Decoding the Power Play

NO1 Top No1 Amil Baba In Azad Kashmir, Kashmir Black Magic Specialist Expert ...

PE 459 LECTURE 2- natural gas basic concepts and properties

Introduction to Serverless with AWS Lambda

Hostel management system project report..pdf

457503602-5-Gas-Well-Testing-and-Analysis-pptx.pptx

Online electricity billing project report..pdf

FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads

Unit 4_Part 1 CSE2001 Exception Handling and Function Template and Class Temp...

Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...

Generative AI or GenAI technology based PPT

Work-Permit-Receiver-in-Saudi-Aramco.pptx

Introduction to Data Visualization,Matplotlib.pdf

Learn the concepts of Thermodynamics on Magic Marks

Tamil Call Girls Bhayandar WhatsApp +91-9930687706, Best Service

DC MACHINE-Motoring and generation, Armature circuit equation

HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx

COST-EFFETIVE and Energy Efficient BUILDINGS ptx

Design For Accessibility: Getting it right from the start

Alternating optimization algorithms for power adjustment and receive filter design in multihop wireless sensor networks

1. Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Alternating Optimization Algorithms for Power Adjustment and Receive Filter Design in Multihop Wireless Sensor Networks Abstract In this paper, we consider a multihop wireless sensor network (WSN) with multiple relay nodes for each hop where the amplify-and-forward (AF) scheme is employed. We present algorithmic strategies to jointly design linear receivers and the power allocation parameters via an alternating optimization approach subject to different power constraints, which include global, local, and individual constraints. Two design criteria are considered: The first criterion minimizes the mean square error (MSE), and the second criterion maximizes the sum rate of the WSN. We derive constrained minimum mean square error (MMSE) and constrained maximum sum-rate expressions for the linear receivers and the power allocation parameters that contain the optimal complex amplification coefficients for each relay node. An analysis of the computational complexity and the convergence of the algorithms is also presented. Computer simulations show good performance of our proposed methods in terms of bit error rate (BER) and sum rate compared with the method with equal power allocation and an existing power allocation scheme.

2. SYSTEM SPECIFICATION Software Specification Operating system : Linux (Ubuntu) Software : Network Simulator 2.35 Programming languages : Tool Command Language, AWK, C++ Hardware Specification Main processor : Dual Core Hard disk capacity : 80GB Cache memory : 2 GB PROJECT FLOW: First Review: Literature Survey Paper Explanation Design of Project Project Enhancement explanation Second Review: Implementing 40% of Base Paper Third Review Implementing Remaining 60% of Base Paper with Future Enhancement (Modification) For More Details please contact Logic Mind Technologies Vijayangar (NearMaruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Mail: logicmindtech@gmail.com

Alternating optimization algorithms for power adjustment and receive filter design in multihop wireless sensor networks

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Viewers also liked

Viewers also liked (16)

Similar to Alternating optimization algorithms for power adjustment and receive filter design in multihop wireless sensor networks

Similar to Alternating optimization algorithms for power adjustment and receive filter design in multihop wireless sensor networks (20)

More from LogicMindtech Nologies

More from LogicMindtech Nologies (20)

Recently uploaded

Recently uploaded (20)

Alternating optimization algorithms for power adjustment and receive filter design in multihop wireless sensor networks