This seminar presentation summarizes the Stable Election Protocol (SEP) for wireless sensor networks. SEP aims to increase network stability and reduce energy consumption through clustering. It uses a genetic algorithm to dynamically select cluster members, heads, and the next cluster. The genetic algorithm evaluates chromosomes based on their ability to minimize energy use and maximize network lifetime. It selects high-fitness chromosomes to mate and produce new chromosomes, applying crossover and mutation. The goal of SEP is to yield longer stability periods for networks with heterogeneous nodes having different energy levels.
This Introduction to the Architectural Reference Model (ARM) for the Internet of Things which is currently developed by the project partners of the European FP7 Research Project IoT-A.
A Review of Energy Conservation
in Wireless Sensor Networks:
1.What are WSNs
2.Applications of WSNs
3.Advantages of using WSNs
4.Design Issues of WSNs
5.Power consumption in WSN
6.Sources of energy waste
7.General approaches to energy saving
8.Conclusion
This Introduction to the Architectural Reference Model (ARM) for the Internet of Things which is currently developed by the project partners of the European FP7 Research Project IoT-A.
A Review of Energy Conservation
in Wireless Sensor Networks:
1.What are WSNs
2.Applications of WSNs
3.Advantages of using WSNs
4.Design Issues of WSNs
5.Power consumption in WSN
6.Sources of energy waste
7.General approaches to energy saving
8.Conclusion
The electric power supplied by a photovoltaic power generation system depends on the solar radiation and temperature. Designing efficient PV systems heavily emphasizes to track the maximum power operating point.
This work develops a three-point weight comparison method that avoids the oscillation problem of the perturbation and observation algorithm which is often employed to track the maximum power point. Furthermore, a low cost control unit is developed, based on a single chip to adjust the output voltage of the solar cell array.
Phasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and Applications
This is presentation slide for OpenStack Summit Austin 2016.
// Abstraction
Internet of Things is a hot topic today. Many companies are trying to create new business applications on a concept of IoT such as smart city, connected vehicle or smart grid. The platform for IoT applications has some unprecedented characteristics: (1) needs to accept huge number of connections simultaneously (2) needs to be highly reliable and secure (3) needs to be highly scalable.
We have designed, prototyped and evaluated a highly reliable IoT platform for collecting and storing large-scale data.
We explained our use case and architecture of IoT platform. We are tackling the following very high requirements during the process of prototyping and evaluating the platform.
• Receiving and storing messages from over 10M clients concurrently
• Highly reliable architecture of message broking without losing messages
• Instant scale-out to process burst traffic rapidly
We also discussed how we can adopt OpenStack to IoT backend and share ideas for its enhancement.
The electric power supplied by a photovoltaic power generation system depends on the solar radiation and temperature. Designing efficient PV systems heavily emphasizes to track the maximum power operating point.
This work develops a three-point weight comparison method that avoids the oscillation problem of the perturbation and observation algorithm which is often employed to track the maximum power point. Furthermore, a low cost control unit is developed, based on a single chip to adjust the output voltage of the solar cell array.
Phasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and ApplicationsPhasor Measurement Unit (PMU) Implementation
and Applications
This is presentation slide for OpenStack Summit Austin 2016.
// Abstraction
Internet of Things is a hot topic today. Many companies are trying to create new business applications on a concept of IoT such as smart city, connected vehicle or smart grid. The platform for IoT applications has some unprecedented characteristics: (1) needs to accept huge number of connections simultaneously (2) needs to be highly reliable and secure (3) needs to be highly scalable.
We have designed, prototyped and evaluated a highly reliable IoT platform for collecting and storing large-scale data.
We explained our use case and architecture of IoT platform. We are tackling the following very high requirements during the process of prototyping and evaluating the platform.
• Receiving and storing messages from over 10M clients concurrently
• Highly reliable architecture of message broking without losing messages
• Instant scale-out to process burst traffic rapidly
We also discussed how we can adopt OpenStack to IoT backend and share ideas for its enhancement.
An Energy Efficient Protocol To Increase Network Life In WSNIOSR Journals
Abstract : Wireless Sensor Network consists of several sensor nodes, these nodes loss some of their energy after the process of communication. So an energy efficient approach is required to improve the life of the network. In case of broadcast network, LEACH protocol uses an aggregative approach by creating cluster of nodes. Now the major concern is to built such clusters over WSN in an optimized way. This work presents the improvement over LEACH protocol. Hence we have different work environments where the network is having different capacities. The proposed work shows how the life time of the network will improve when the number of nodes varies within the network. Keywords - LEACH, energy, lifetime, cluster based, WSN\
To analyze the efficiency of heterogeneous wireless sensor network over homogenous wireless sensor network.
To analyze the stability, life time ,through put.
Low-energy adaptive clustering hierarchy ("LEACH") is a TDMA-based MAC protocol which is integrated with clustering and a simple routing protocol in wireless sensor networks (WSNs)
An immersive workshop at General Assembly, SF. I typically teach this workshop at General Assembly, San Francisco. To see a list of my upcoming classes, visit https://generalassemb.ly/instructors/seth-familian/4813
I also teach this workshop as a private lunch-and-learn or half-day immersive session for corporate clients. To learn more about pricing and availability, please contact me at http://familian1.com
3 Things Every Sales Team Needs to Be Thinking About in 2017Drift
Thinking about your sales team's goals for 2017? Drift's VP of Sales shares 3 things you can do to improve conversion rates and drive more revenue.
Read the full story on the Drift blog here: http://blog.drift.com/sales-team-tips
Implementation of energy efficient coverage aware routing protocol for wirele...ijfcstjournal
In recent years, wireless sensor network have been used in many application such as disaster reservation,
agriculture, environmental observation and forecasting .Coverage preservation and energy consumption
are two most important issues in wireless sensor networks. To increase the network lifetime, we propose an
energy efficient coverage aware routing protocol for wireless sensor network for randomly deployed sensor
nodes. Some of the routing protocol is based on energy efficiency and some are based on coverage aware.
The proposed routing protocol is based on both the issues i.e. coverage and energy, in which we first find
the k-mean i.e. the degree of coverage, so that we can use this in the selection of cluster heads in wireless
sensor network by using Genetic Algorithm for increasing network lifetime and coverage. For cluster head
selection each node evaluates its k-mean and energy by internal function which used as fitness function in
genetic algorithm. The proposed algorithm “Implementation of energy efficient coverage aware routing
protocol for Wireless Sensor Network” is designed for homogeneous wireless sensor network. Simulations
results show that proposed algorithm increases the network lifetime by reduce the energy consumption and
preserve coverage. Simulation is done with MATLAB and a comparison of algorithm with benchmark
algorithms is also performed.
Energy efficient clustering in heterogeneousIJCNCJournal
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.
This paper considers a heterogeneous network of energy constrained sensors deployed over a region. Each
Normal sensor node in a network is systematically gathering and transmitting sensed data to the clusterhead,
and then cluster head sending data to a base station (via intermediate cluster- heads). This paper
focuses on reducing the energy consumption and hence improving lifetime of wireless sensor Networks.
Clustering sensor node is an effective topology for the energy constrained networks. So energy saving
algorithm has been developed in which clusters are formed considering a subset of high energy nodes as a
cluster-head and another subset of powerful nodes is ask to go to sleep. When Cluster heads deplete their
energy another subset of nodes becomes active and acts as a cluster head. Proposed approach is
implemented in MATLAB, Simulation results shows that it can prolong the network lifetime than LEACH
protocol, and achieves better performance than the existing clustering algorithms such as LEACH.
Energy efficient data communication approach in wireless sensor networksijassn
Wireless sensor network has a vast variety of applications. The adoption of energy efficient cluster-based
configuration has many untapped desirable benefits for the WSNs. The limitation of energy in a sensor
node creates challenges for routing in WSNs. The research work presents the organized and detailed
description of energy conservation method for WSNs. In the proposed method reclustering and multihop
data transmission processes are utilized for data reporting to base station by sensor node. The accurate use
of energy in WSNs is the main challenge for exploiting the network to the full extent. The main aim of the
proposed method is that by evenly distributing the energy all over the sensor nodes and by reducing the
total energy dissipation, the lifetime of the network is enhanced, so that the node will remain alive for
longer times inside the cluster. The result shows that the proposed clustering approach has higher stable
region and network life time than Topology-Controlled Adaptive Clustering (TCAC) and Low-Energy
Adaptive Clustering Hierarchy (LEACH) for WSNs.
ENERGY EFFICIENT DATA COMMUNICATION APPROACH IN WIRELESS SENSOR NETWORKSijassn
Wireless sensor network has a vast variety of applications. The adoption of energy efficient cluster-based configuration has many untapped desirable benefits for the WSNs. The limitation of energy in a sensor node creates challenges for routing in WSNs. The research work presents the organized and detailed description of energy conservation method for WSNs. In the proposed method reclustering and multihop data transmission processes are utilized for data reporting to base station by sensor node. The accurate use of energy in WSNs is the main challenge for exploiting the network to the full extent. The main aim of the proposed method is that by evenly distributing the energy all over the sensor nodes and by reducing the total energy dissipation, the lifetime of the network is enhanced, so that the node will remain alive for longer times inside the cluster. The result shows that the proposed clustering approach has higher stable region and network life time than Topology-Controlled Adaptive Clustering (TCAC) and Low-Energy Adaptive Clustering Hierarchy (LEACH) for WSNs.
An Improved Deterministic Energy Efficient Clustering Protocol for Wireless S...IJERA Editor
In recent development, achieving the deployment of nodes, lifetime, fault tolerance, latency, energy efficiency in brief robustness and high reliability have become the prime research goals of wireless sensor network. In recent years many clustering protocols have been suggested on clustering structure based on heterogeneity. We propose improved deterministic energy-efficient clustering protocol for four types of nodes which extend the stability and lifetime of the network in team of first node get dead. Hence, it increases the heterogeneity and energy level of the network. I-DEC performs better than E-SEP, SEP and DEC with more stability and effective messages shows in simulation results.
ENERGY EFFICIENT GRID AND TREE BASED ROUTING PROTOCOLijwmn
In Wireless Sensor Network, a large number of sensor nodes are deployed and they mainly consume energy
in transmitting data over long distances. Sensor nodes are battery powered and their energy is restricted.
Since the location of the sink is remote, considerable energy would be consumed if each node directly
transmits data to the base station. Aggregating data at the intermediate nodes and transmitting using multihops
aids in reducing energy consumption to a great extent. This paper proposes a hybrid protocol
“Energy efficient Grid and Tree based routing protocol” (EGT) in which the sensing area is divided into
grids. The nodes in the grid relay data to the cell leader which aggregates the data and transmits to the
sink using the constructed hop tree. Simulation results show that EGT performs better than LEACH.
INCREASING WIRELESS SENSOR NETWORKS LIFETIME WITH NEW METHODijwmn
One of the most important issues in Wireless Sensor Networks (WSNs) is severe energy restrictions. As the
performance of Sensor Networks is strongly dependence to the network lifetime, researchers seek a way to
use node energy supply effectively and increasing network lifetime. As a consequence, it is crucial to use
routing algorithms result in decrease energy consumption and better bandwidth utilization. The purpose of
this paper is to increase Wireless Sensor Networks lifetime using LEACH-algorithm. So before clustering
Network environment, it is divided into two virtual layers (using distance between sensor nodes and base
station) and then regarding to sensors position in each of two layers, residual energy of sensor and
distance from base station is used in clustering. In this article, we compare proposed algorithm with wellknown LEACH and ELEACH algorithms in homogenous environment (with equal energy for all sensors)
and heterogeneous one (energy of half of sensors get doubled), also for static and dynamic situation of base
station. Results show that our proposed algorithm delivers improved performance.
INCREASING WIRELESS SENSOR NETWORKS LIFETIME WITH NEW METHODijwmn
One of the most important issues in Wireless Sensor Networks (WSNs) is severe energy restrictions. As the
performance of Sensor Networks is strongly dependence to the network lifetime, researchers seek a way to
use node energy supply effectively and increasing network lifetime. As a consequence, it is crucial to use
routing algorithms result in decrease energy consumption and better bandwidth utilization. The purpose of
this paper is to increase Wireless Sensor Networks lifetime using LEACH-algorithm. So before clustering
Network environment, it is divided into two virtual layers (using distance between sensor nodes and base
station) and then regarding to sensors position in each of two layers, residual energy of sensor and
distance from base station is used in clustering. In this article, we compare proposed algorithm with wellknown LEACH and ELEACH algorithms in homogenous environment (with equal energy for all sensors)
and heterogeneous one (energy of half of sensors get doubled), also for static and dynamic situation of base
station. Results show that our proposed algorithm delivers improved performance.
Lifetime enhanced energy efficient wireless sensor networks using renewable e...IJECEIAES
In this paper, we consider a remote environment with randomly deployed sensor nodes, with an initial energy of E0 (J) and a solar panel. A hierarchical clustering technique is implemented. At each round, the normal nodes send the sensed data to the nearest cluster head (CH) which is chosen on the probability value. Data after aggregation at CHs is sent to the base station (BS). CH requires more energy than normal nodes. Here, we energize only CHs if their energy is less than 5% of its initial value with the use of solar energy. We evaluate parameters like energy consumption, the lifetime of the network, and data packets sent to CH and BS. The obtained results are compared with existing techniques. The proposed protocol provides better energy efficiency and network lifetime. The results show increased stability with delayed death of the first node. The network lifetime of the proposed protocol is compared to the multi-level hybrid energy efficient distributed (MLHEED) technique and low-energy adaptive clustering hierarchy (LEACH) variants. Network lifetime is enhanced by 13.35%. Energy consumption is reduced with respect to MLHEED-4, 5, and 6 by 7.15%, 12.10%, and 14.975% respectively. The no. of packets transferred to the BS is greater than the MLHEED protocol by 39.03%.
An Adaptive Energy Aware Clustering Based Reliable Routing for in-Network Agg...Editor IJCATR
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.
Energy aware clustering protocol (eacp)IJCNCJournal
Energy saving to prolong the network life is an important design issue while developing a new routing
protocol for wireless sensor network. Clustering is a key technique for this and helps in maximizing the
network lifetime and scalability. Most of the routing and data dissemination protocols of WSN assume a
homogeneous network architecture, in which all sensors have the same capabilities in terms of battery
power, communication, sensing, storage, and processing. Recently, there has been an interest in
heterogeneous sensor networks, especially for real deployments. This research paper has proposed a new
energy aware clustering protocol (EACP) for heterogeneous wireless sensor networks. Heterogeneity is
introduced in EACP by using two types of nodes: normal and advanced. In EACP cluster heads for normal
nodes are elected with the help of a probability scheme based on residual and average energy of the
normal nodes. This will ensure that only the high residual normal nodes can become the cluster head in a
round. Advanced nodes use a separate probability based scheme for cluster head election and they will
further act as a gateway for normal cluster heads and transmit their data load to base station when they
are not doing the duty of a cluster head. Finally a sleep state is suggested for some sensor nodes during
cluster formation phase to save network energy. The performance of EACP is compared with SEP and
simulation result shows the better result for stability period, network life and energy saving than SEP.
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Genetic-fuzzy based load balanced protocol for WSNsIJECEIAES
Recent advancement in wireless sensor networks primarily depends upon energy constraint. Clustering is the most effective energy-efficient technique to provide robust, fault-tolerant and also enhance network lifetime and coverage. Selection of optimal number of cluster heads and balancing the load of cluster heads are most challenging issues. Evolutionary based approach and soft computing approach are best suitable for counter the above problems rather than mathematical approach. In this paper we propose hybrid technique where Genetic algorithm is used for the selection of optimal number of cluster heads and their fitness value of chromosome to give optimal number of cluster head and minimizing the energy consumption is provided with the help of fuzzy logic approach. Finally cluster heads uses multi-hop routing based on A*(A-star) algorithm to send aggregated data to base station which additionally balance the load. Comparative study among LEACH, CHEF, LEACH-ERE, GAEEP shows that our proposed algorithm outperform in the area of total energy consumption with various rounds and network lifetime, number of node alive versus rounds and packet delivery or packet drop ratio over the rounds, also able to balances the load at cluster head.
Multi Objective Salp Swarm based Energy Efficient Routing Protocol for Hetero...IJCNCJournal
Routing is a persistent concern in wireless sensor networks (WSNs), as getting data from sources to destinations can be a tricky task. Challenges include safeguarding the data being transferred, ensuring network longevity, and preserving energy in harsh environmental conditions. Consequently, this study delves into the suitability of using multi-objective swarm optimization to route heterogeneous WSNs in the hope of mitigating these issues while boosting the speed and accuracy of data transmission. In order to achieve better performance in terms of load balancing and reducing energy expenditure, the MOSSA-BA algorithm was developed. This algorithm combines the Multi-Objective Salp Swarm Algorithm (MOSSA) with the exploiting strategy of the artificial bee colony (BA) in the neighbourhood of Salps. Inspired by the SEP and EDEEC protocols, the integrated solutions of MOSSA-BA were used to route two and three levels of heterogeneous networks. The embedded solutions provided outstanding performance in regards to FND, HND, LND, percentage of remaining energy, and the number of packages delivered to the base station. Compared to SEP, EDEEC, and other competitors based on MOSSA and a modified multi-objective particle swarm optimization (MOPSO), the MOSSA-BA-based protocols demonstrated energy-saving percentages of more than 34% in medium-sized areas of interest and over 22% in large-sized areas of detection.
Multi Objective Salp Swarm based Energy Efficient Routing Protocol for Hetero...IJCNCJournal
Routing is a persistent concern in wireless sensor networks (WSNs), as getting data from sources to destinations can be a tricky task. Challenges include safeguarding the data being transferred, ensuring network longevity, and preserving energy in harsh environmental conditions. Consequently, this study delves into the suitability of using multi-objective swarm optimization to route heterogeneous WSNs in the hope of mitigating these issues while boosting the speed and accuracy of data transmission. In order to achieve better performance in terms of load balancing and reducing energy expenditure, the MOSSA-BA algorithm was developed. This algorithm combines the Multi-Objective Salp Swarm Algorithm (MOSSA) with the exploiting strategy of the artificial bee colony (BA) in the neighbourhood of Salps. Inspired by the SEP and EDEEC protocols, the integrated solutions of MOSSA-BA were used to route two and three levels of heterogeneous networks. The embedded solutions provided outstanding performance in regards to FND, HND, LND, percentage of remaining energy, and the number of packages delivered to the base station. Compared to SEP, EDEEC, and other competitors based on MOSSA and a modified multi-objective particle swarm optimization (MOPSO), the MOSSA-BA-based protocols demonstrated energy-saving percentages of more than 34% in medium-sized areas of interest and over 22% in large-sized areas of detection.
Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing...graphhoc
There are many challenges when designing and deploying wireless sensor networks (WSNs). One of the key challenges is how to make full use of the limited energy to prolong the lifetime of the network, because energy is a valuable resource in WSNs. The status of energy consumption should be continuously monitored after network deployment. In this paper, we propose coverage and connectivity aware neural network based energy efficient routing in WSN with the objective of maximizing the network lifetime. In the proposed scheme, the problem is formulated as linear programming (LP) with coverage and connectivity aware constraints. Cluster head selection is proposed using adaptive learning in neural networks followed by coverage and connectivity aware routing with data transmission. The proposed scheme is compared with existing schemes with respect to the parameters such as number of alive nodes, packet delivery fraction, and node residual energy. The simulation results show that the proposed scheme can be used in wide area of applications in WSNs.
A Novel Cluster-Based Energy Efficient Routing With Hybrid Protocol in Wirele...IJERA Editor
In wireless sensor network, lifetime of sensor nodes is the most essential parameters. sensor node's lifetime may be extended using LEACH and HEED scheme which is allowing to move the cluster head surrounded by the sensor nodes try to allocate the energy consumption over all nodes in the network. Energy efficiency is depends on the selection of cluster head. In this paper, we proposed the clustering algorithm to minimize the overhead of control packets by using LEACH and HEED and Efficient utilization of node near sink and to implements the hybrid protocol which would be better than the existing protocol.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
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Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
3. Sensor
Sensor are used to sense the information from
the environment and compute, store and
transmit ,interested data from the
environment in which they deployed.
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4. Wireless Sensor Network
A Wireless Sensor Network (WSN) consists
of base stations and a number of wireless
sensors (nodes).
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5. Application
Military and national security application
Environment monitoring
Medical application
Nearly anything you can imagine
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6. Problem
Due to small size a big size battery source can
not be embedded into them therefore sensor
need an effective mechanism for maximum
energy utilization. some amount of energy is
consumed during sensing as well as
transmission of data. practically this is not
possible to replace or recharge batteries of
nodes once node are deployed in a field or
zone.
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10. 10
Clustering Hierarchy
In wsn nodes are not always homogeneous they might be
heterogeneous which increase network complexity. To
increase stability and reduce the energy consumption
clustering is key technique in WSN.
11. Genetic Algorithm
Genetic Algorithm is used to create cluster
member, cluster head and next cluster
dynamically, which is used to calculate
average fitness and increase life time of the
network
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13. Population
A population is collection of several
chromosomes and the best chromosome is
used to generate the next population. Initially
the GA starts with a population of predefined
number of chromosomes and randomly
selected cluster heads. each chromosome
is evaluated by GA by calculating its
fitness. After evaluating the fitness GA
selects best suitable chromosome and then
applies crossover and mutation.
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14. Fitness
The fitness of a chromosome is its ability
to pass on its genetic material & also its
quality to survive. The fitness of the
chromosome is designed to minimize the
energy consumption and to increase the network
lifetime.
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15. Selection
Selection is the process of determining
which two chromosomes will mate to
form a new chromosome.
The chromosomes with higher fitness values
have more chances to of matting.
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16. Crossover
Crossover is a binary genetic operation
applied on two chromosomes. Crossover
recombines the genetic materials of two parent
chromosomes to produce a child chromosome. The
results of the crossover depend on the selection
procedure.
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17. Mutation
In mutation the genetic material of
individual changes of its own. The mutation
adds variations in the next generation.
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18. Conclusion
It conclude that SEP is most suitable when
deal with network lifetime and stability. It
found that SEP yields longer stability region
for higher values of extra energy brought by
more powerful nodes.
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19. References
G. Smaragdakis and I. Matta, “SEP: A
Stable Election protocol for clustered
heterogeneous Wireless sensor Networks”,
Boston University Computer Science Department,
2004.
Akkaya, K., & Younis, M. (2005). "A survey on
routing protocol for wireless sensor networks". Ad
hoc Networks 3 , 325-349.
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