This document presents a summary of an energy efficient cluster head selection method for the LEACH protocol in wireless sensor networks. It discusses the LEACH protocol and its phases/operations. It also identifies weaknesses in the standard LEACH approach. The authors then propose selecting two cluster heads based on residual energy to perform data gathering, aggregation, and transmission to the base station. Cluster heads would be selected considering residual energy and distance factors to balance energy consumption across the network. This proposed approach aims to improve system efficiency and prolong the network lifetime.
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)
The Optimized Link State Routing Protocol (OLSR) is an IP routing protocol optimized for mobile ad hoc networks, which can also be used on other wireless ad hoc networks. OLSR uses hello and topology control (TC) messages to discover and then disseminate link state information throughout the mobile ad hoc network.
Contents which are covered here:
Classification of Ad-Hoc Routing Protocol
Link State Routing
Problems of Link State Routing
Optimized Link State Routing Protocol
1 Hop and 2 Hop Neighbors
Hello Packet
MPR Selection
Topology Table
MPR Information Declaration
*** Animated figure/diagram might not be visible in PDF view. Please consider it. ***
OLSR Model, OLSR Protocol, Optimized Link-State Routing Protocol
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)
The Optimized Link State Routing Protocol (OLSR) is an IP routing protocol optimized for mobile ad hoc networks, which can also be used on other wireless ad hoc networks. OLSR uses hello and topology control (TC) messages to discover and then disseminate link state information throughout the mobile ad hoc network.
Contents which are covered here:
Classification of Ad-Hoc Routing Protocol
Link State Routing
Problems of Link State Routing
Optimized Link State Routing Protocol
1 Hop and 2 Hop Neighbors
Hello Packet
MPR Selection
Topology Table
MPR Information Declaration
*** Animated figure/diagram might not be visible in PDF view. Please consider it. ***
OLSR Model, OLSR Protocol, Optimized Link-State Routing Protocol
TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEYijujournal
Time synchronization is a critical piece of infrastructure for any distributed system. Wireless sensor networks have emerged as an important and promising research area in the recent years. Time synchronization is important for many sensor network applications that require very precise mapping of gathered sensor data with the time of the events, for example, in tracking and vehicular surveillance. It also plays an important role in energy conservation in MAC layer protocols. The paper studies different existing methods, protocols, significant time parameters (clock drift, clock speed, synchronization errors, and topologies) to achieve accurate synchronization in a sensor network. The studied Synchronization protocols include conventional time sync protocols (RBS, Timing-sync Protocol for Sensor Networks -TPSN, FTSP), and other application specific
approaches such as all node-based approach, a diffusion-based method and group sync approaches aiming at providing network-wide time. The goal for writing this paper is to study most common existing time synchronization approaches and stress the need of a new class of secure-time synchronization protocol that is scalable, topology independent, fast convergent, energy efficient, less latent and less application dependent in a heterogeneous hostile environment. Our survey provides a valuable framework by which protocol designers can compare new and
existing synchronization protocols from various metric discussed in the paper. So, we are hopeful that this paper will serve a complete one-stop investigation to study the characteristics of existing time synchronization protocols and its implementation mechanism in a Sensor network environment.
In mobile ad hoc networks (MANETs), multipath routing protocols are more popular due to overcomes the certain limitation of single path routing like lower end-to-end delay, load balancing, energy efficiency and network lifetime. By providing multiple paths between a source-destination pair, multipath routing protocols are avoid such above problems. AOMDV (Ad Hoc On-Demand Multipath Distance Vector) routing protocol is an on-demand multipath routing and which is a relatively maturity and extensive application protocol. It doesn’t consider residual energy and load situation of the node on the time of route discovery process. So AOMDV’s efficiency declines sharply in case of high load and fast moving velocity. To solve the above problems, we propose an improved protocol Energy Efficient- AOMDV (EAOMDV) of AOMDV routing algorithm. EAOMDV is based on a strategy of energy model and load balancing concept. It will consider the residual energy and the load situation of the nodes, when it starts the route discovery phase. After considering the above concept and according to the simulation results, the EAOMDV routing protocol improves the efficiency, the packet delivery ratio and reduces the routing load.
Energy Efficient LEACH protocol for Wireless Sensor Network (I-LEACH)ijsrd.com
In the wireless sensor networks (WSNs), the sensor nodes (called motes) are usually scattered in a sensor field an area in which the sensor nodes are deployed. These motes are small in size and have limited processing power, memory and battery life. In WSNs, conservation of energy, which is directly related to network life time, is considered relatively more important souse of energy efficient routing algorithms is one of the ways to reduce the energy conservation. In general, routing algorithms in WSNs can be divided into flat, hierarchical and location based routing. There are two reasons behind the hierarchical routing Low Energy Adaptive Clustering Hierarchy (LEACH) protocol be in explored. One, the sensor networks are dense and a lot of redundancy is involved in communication. Second, in order to increase the scalability of the sensor network keeping in mind the security aspects of communication. Cluster based routing holds great promise for many to one and one to many communication paradigms that are pre valentines or networks.
Energy Efficient LEACH protocol for Wireless Sensor Network (I-LEACH)ijsrd.com
in the wireless sensor networks (WSNs), the sensor nodes (called motes) are usually scattered in a sensor field an area in which the sensor nodes are deployed. These motes are small in size and have limited processing power, memory and battery life. In WSNs, conservation of energy, which is directly related to network life time, is considered relatively more important souse of energy efficient routing algorithms is one of the ways to reduce the energy conservation. In general, routing algorithms in WSNs can be divided into flat, hierarchical and location based routing. There are two reasons behind the hierarchical routing Low Energy Adaptive Clustering Hierarchy (LEACH) protocol be in explored. One, the sensor networks are dense and a lot of redundancy is involved in communication. Second, in order to increase the scalability of the sensor network keeping in mind the security aspects of communication. Cluster based routing holds great promise for many to one and one to many communication paradigms that are pre valentines or networks.
TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEYijujournal
Time synchronization is a critical piece of infrastructure for any distributed system. Wireless sensor networks have emerged as an important and promising research area in the recent years. Time synchronization is important for many sensor network applications that require very precise mapping of gathered sensor data with the time of the events, for example, in tracking and vehicular surveillance. It also plays an important role in energy conservation in MAC layer protocols. The paper studies different existing methods, protocols, significant time parameters (clock drift, clock speed, synchronization errors, and topologies) to achieve accurate synchronization in a sensor network. The studied Synchronization protocols include conventional time sync protocols (RBS, Timing-sync Protocol for Sensor Networks -TPSN, FTSP), and other application specific
approaches such as all node-based approach, a diffusion-based method and group sync approaches aiming at providing network-wide time. The goal for writing this paper is to study most common existing time synchronization approaches and stress the need of a new class of secure-time synchronization protocol that is scalable, topology independent, fast convergent, energy efficient, less latent and less application dependent in a heterogeneous hostile environment. Our survey provides a valuable framework by which protocol designers can compare new and
existing synchronization protocols from various metric discussed in the paper. So, we are hopeful that this paper will serve a complete one-stop investigation to study the characteristics of existing time synchronization protocols and its implementation mechanism in a Sensor network environment.
In mobile ad hoc networks (MANETs), multipath routing protocols are more popular due to overcomes the certain limitation of single path routing like lower end-to-end delay, load balancing, energy efficiency and network lifetime. By providing multiple paths between a source-destination pair, multipath routing protocols are avoid such above problems. AOMDV (Ad Hoc On-Demand Multipath Distance Vector) routing protocol is an on-demand multipath routing and which is a relatively maturity and extensive application protocol. It doesn’t consider residual energy and load situation of the node on the time of route discovery process. So AOMDV’s efficiency declines sharply in case of high load and fast moving velocity. To solve the above problems, we propose an improved protocol Energy Efficient- AOMDV (EAOMDV) of AOMDV routing algorithm. EAOMDV is based on a strategy of energy model and load balancing concept. It will consider the residual energy and the load situation of the nodes, when it starts the route discovery phase. After considering the above concept and according to the simulation results, the EAOMDV routing protocol improves the efficiency, the packet delivery ratio and reduces the routing load.
Energy Efficient LEACH protocol for Wireless Sensor Network (I-LEACH)ijsrd.com
In the wireless sensor networks (WSNs), the sensor nodes (called motes) are usually scattered in a sensor field an area in which the sensor nodes are deployed. These motes are small in size and have limited processing power, memory and battery life. In WSNs, conservation of energy, which is directly related to network life time, is considered relatively more important souse of energy efficient routing algorithms is one of the ways to reduce the energy conservation. In general, routing algorithms in WSNs can be divided into flat, hierarchical and location based routing. There are two reasons behind the hierarchical routing Low Energy Adaptive Clustering Hierarchy (LEACH) protocol be in explored. One, the sensor networks are dense and a lot of redundancy is involved in communication. Second, in order to increase the scalability of the sensor network keeping in mind the security aspects of communication. Cluster based routing holds great promise for many to one and one to many communication paradigms that are pre valentines or networks.
Energy Efficient LEACH protocol for Wireless Sensor Network (I-LEACH)ijsrd.com
in the wireless sensor networks (WSNs), the sensor nodes (called motes) are usually scattered in a sensor field an area in which the sensor nodes are deployed. These motes are small in size and have limited processing power, memory and battery life. In WSNs, conservation of energy, which is directly related to network life time, is considered relatively more important souse of energy efficient routing algorithms is one of the ways to reduce the energy conservation. In general, routing algorithms in WSNs can be divided into flat, hierarchical and location based routing. There are two reasons behind the hierarchical routing Low Energy Adaptive Clustering Hierarchy (LEACH) protocol be in explored. One, the sensor networks are dense and a lot of redundancy is involved in communication. Second, in order to increase the scalability of the sensor network keeping in mind the security aspects of communication. Cluster based routing holds great promise for many to one and one to many communication paradigms that are pre valentines or networks.
Improvement In LEACH Protocol By Electing Master Cluster Heads To Enhance The...Editor IJCATR
In wireless sensor networks, sensor nodes play the most prominent role. These sensor nodes are mainly un-chargeable, so it
raises an issue regarding lifetime of the network. Mainly sensor nodes collect data and transmit it to the Base Station. So, most of the
energy is consumed in the communication process between sensor nodes and the Base Station. In this paper, we present an
improvement on LEACH protocol to enhance the network lifetime. Our goal is to reduce the transmissions between cluster heads and
the sink node. We will choose optimum number of Master Cluster Heads from variation cluster heads present in the network. The
simulation results show that our proposed algorithm enhances the network lifetime as compare to the LEACH protocol.
Uniform Distribution Technique of Cluster Heads in LEACH Protocolidescitation
A sensor network is composed of a large number of
sensor nodes that are densely deployed either inside the
phenomenon or very close to it. Clustering provides an effective
way for prolonging the lifetime of a wireless sensor network.
Current clustering algorithms usually utilize two techniques,
selecting cluster heads (CHs) with more residual energy and
rotating cluster heads periodically, to distribute the energy
consumption among nodes in each cluster and extend the
network lifetime. LEACH (Low-Energy Adaptive Clustering
Hierarchy), a clustering-based protocol that utilizes
randomized rotation of local cluster base stations (cluster-
heads) to evenly distribute the energy load among the sensors
in the network. But LEACH cannot select the cluster-heads
uniformly throughout the network. Hence, some nodes in the
network have to transmit their data very far to reach the CHs,
causing the energy in the system to be large. Here we have an
approach to address this problem for selecting CHs and their
corresponding clusters. The goal of this paper is to build such
a wireless sensor network in which each sensor node remains
inside the transmission range of CHs and its lifetime is
enlarged.
Enhancing the Energy Parameter of Leach Protocol For Wireless Sensor NetworkIJERD Editor
This paper presents a very new version of LEACH protocol, called as modified LEACH (MOD_LEACH), which focuses more on reducing the energy consumption within the Wireless Sensor Network. We evaluate both LEACH and LEACH-C through extensive simulation using NS-2.35 and the results shows that MOD_LEACH performs better and more energy efficiency than LEACH protocol
Wireless sensor network consists of several distributed sensor nodes. It is used for several environmental applications, military applications and health related applications. To prolong the lifetime of the sensor nodes, designing efficient routing protocols is critical. Most of the research in energy efficient data gathering in data centric applications of wireless sensor networks is motivated by LEACH (Low Energy Adaptive Clustering Hierarchy) scheme. It allows the rotation of cluster head role among the sensor nodes and tries to distribute the energy consumption over the network. Selection of sensor node for such role rotations greatly affects the energy efficiency of the network. Some of the routing protocol has a drawback that the cluster is not evenly distributed due to its randomized rotation of local cluster head. We have surveyed several existing methods for selecting energy efficient cluster head in wireless sensor networks. We have proposed an energy efficient cluster head selection method in which the cluster head selection and replacement cost is reduced and ultimately the network lifetime is increased. Using our proposed method, network life time is increased compared to existing methods. Keywords: WSN, CH, BS, LEACH, LEACH-B, LEACH-F
An Improved LEACH-C Algorithm for Energy Efficiency in WSN Routingijsrd.com
this paper considered a multi-objective LEACH-C algorithm in the selection of Cluster Head (CH) in such a way so that its energy is used uniformly with load balancing among clusters for delayed disintegration of network. LEACH-C algorithm based single objective clustering approach has been replaced by multi-objective clustering approach where we not only considered the residual energy of nodes but the size of cluster in creating a cluster structure. The improved LEACH-C protocol has been compared with random LEACH and Max Energy LEACH or existing LEACH-C algorithm for energy equi-distribution and load balancing among clusters. Wireless sensor network (WSN) is simulated using a MATLAB programming and power consumption algorithms take into consideration all aspects of power consumption in the operation of the node. The modified LEACH-C routing protocol shows improvements in lifetime as well as in network disintegration criterion
Data Dissemination in Wireless Sensor Networks: A State-of-the Art SurveyCSCJournals
A wireless sensor network is a network of tiny nodes with wireless sensing capacity for data collection processing and further communicating with the Base Station this paper discusses the overall mechanism of data dissemination right from data collection at the sensor nodes, clustering of sensor nodes, data aggregation at the cluster heads and disseminating data to the Base Station the overall motive of the paper is to conserve energy so that lifetime of the network is extended this paper highlights the existing algorithms and open research gaps in efficient data dissemination.
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.
An Analysis of Low Energy Adaptive Clustering Hierarchy (LEACH) Protocol for ...IJERD Editor
Wireless sensor network is an emerging field leading to the various applications worldwide. Small nodes being used are capable enough to sensing, computation, collection and forwarding the data to the Base Station. Battery source is one of the most prominent concerning issue in making the sensor network running for performing various assigned tasks. This battery source has all business with the routing strategies being employed. Here in this paper the routing protocol LEACH (Low-Energy Adaptive Clustering Hierarchy) is being reviewed to explore the advancements in clustering strategies. LEACH is being the first clustering protocol which selects the cluster head in each round and thereby balancing the energy consumption throughout the network. The work in the paper focus to discuss various variants of LEACH aiming to enhance the network life-time.
Optimizing the Performance of I-mod Leach-PD Protocol in Wireless Sensor Netw...ijsrd.com
Wireless Sensor Networks (WSNs) is a networks of thousands of inexpensive miniature devices capable of computation, communication and sensing. WSN is being been attracting increasing interest for supporting a new generation of ubiquitous computing systems with great potential for many applications such as surveillance, environmental monitoring, health care monitoring or home automation. In the near future, wireless sensor network is expected to consists of thousand of inexpensive nodes, each having sensing capability with limited computational and communication power which enables to deploy large scale sensor networks. Large scale WSN is usually implemented as a cluster network. Clustering sensors into groups, so that sensors communicate information only to cluster-heads and then the cluster-heads communicate the aggregated information to the base station, saves energy and thus prolongs network lifetime. LEACH (Low Energy Adaptive Clustering Hierarchy) protocol is one of the clustering routing protocols in wireless sensor networks. The advantage of LEACH is that each node has the equal probability to be a cluster head, which makes the energy dissipation of each node be relatively balanced. In LEACH protocol, time is divided into many rounds, in each round, all the nodes contend to be cluster head according to a predefined criterion. This paper focuses on how to set the time length of each round, how to adjust threshold based on the residual energy, and the measurement of energy required for transmission, based on the distance of cluster head from the base station, to prolong the lifetime of the network and increase throughput, which is denoted as the amount of data packs sent to the sink node. The functions of residual energy and required energy, and the time length of each round are deduced, thereby modifying the threshold value calculation. These functions can be used to enhance the performance of cluster-based wireless sensor networks in terms of lifetime and throughput.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
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 balanced improved leach routing protocol for wireless sensor networkscsandit
A proper sensor node clustering is an effective topology control that can balance energy
consumption among sensor nodes and increase network scalability and life time. As the use of
wireless sensor networks (WSNs) has grown enormously, the need for energy-efficient routing
and data aggregation has also risen. LEACH
(
Low Energy Adaptive Cluster Hierarchy
)
is a
hierarchical clustering protocol that provides an elegant solution for such protocols. Random
clustering is the main deficiency of LEACH. In this paper an energy balanced clustering
approach is proposed, in which the K-mean clustering algorithm is applied. It is centralized
clustering algorithm that based on minimum energy clustering to form optimal clusters. For the
candidate nodes, the location and the residual energy are used as key parameters to select the
cluster head (CH). The method shows that the proposed approach outperforms LEACH in terms
of energy conservation and network life time prolonging.
ENERGY-BALANCED IMPROVED LEACH ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKScscpconf
A proper sensor node clustering is an effective topology control that can balance energy
consumption among sensor nodes and increase network scalability and life time. As the use of
wireless sensor networks (WSNs) has grown enormously, the need for energy-efficient routing
and data aggregation has also risen. LEACH
(
Low Energy Adaptive Cluster Hierarchy
)
is a
hierarchical clustering protocol that provides an elegant solution for such protocols. Random
clustering is the main deficiency of LEACH. In this paper an energy balanced clustering
approach is proposed, in which the K-mean clustering algorithm is applied. It is centralized
clustering algorithm that based on minimum energy clustering to form optimal clusters. For the
candidate nodes, the location and the residual energy are used as key parameters to select the
cluster head (CH). The method shows that the proposed approach outperforms LEACH in terms
of energy conservation and network life time prolonging.
Similar to Energy efficient cluster head selection in LEACH protocol (20)
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.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
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
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.
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This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Final project report on grocery store management system..pdf
Energy efficient cluster head selection in LEACH protocol
1. Madan Mohan Malaviya University of Technology, Gorakhpur
(U.P.) India
Energy efficient Cluster Head Selection in
LEACH protocol
Presented by-
Arun Kumar Yadav
Govinda Gupta
Tinku Kumar Singh
Under Guidance Of
Mrs. Meenu
(Assistant Professor)
Department of Computer Science & Engineering
2. Overview
Wireless Sensor Network
Introduction of LEACH
Phases of LEACH
Working of LEACH
Variations of LEACH
Proposed LEACH
Conclusion
References
3. • WSN.
• Base Station.
• Transceiver.
Wireless Sensing Network
Problem
Limited energy of the
sensor.
4. An Introduction
LEACH stands for Low-Energy Adaptive Clustering Hierarchy.
This WSN is considered to be a dynamic clustering method.
Randomized rotation of cluster heads among the sensors .
All non-cluster head nodes transmit data to their cluster head.
CH receives this data and performs signal processing functions
on the data and transmits data to the BS.
6. The reason we need network protocol such as LEACH is due
to the fact that a node in the network is no longer useful when
its battery dies.
This protocol allows us to space out the lifespan of the nodes,
allowing it to do only the minimum work it needs to transmit
data.
The Problem
7. Cluster Head
The LEACH Network is made up of nodes, some of which
are called cluster-heads….
The job of the cluster-head is to collect data from their
surrounding nodes and pass it on to the base station
LEACH is dynamic because the job of cluster-head rotates
8. LEACH’s two phases
The LEACH network has two phases:
The set-up phase
The steady-state
The Set-Up Phase
• Where cluster-heads are chosen
• None cluster head get involved
The Steady-State
• The cluster-head is maintained
• When data is transmitted between nodes
9. Stochastic Threshold Algorithm
Cluster-heads can be chosen stochastically (randomly based) on this
algorithm:
If n < T(n), then that node becomes a cluster-head
The algorithm is designed so that each node becomes a cluster-head at
least once
10. Weakness in LEACH
LEACH assumes that
It is only suitable for small size networks.
All nodes have data to send and so assign a time slot for a node even though some
nodes might not have data to transmit.
Overhead of clustering after certain period of time.
System stop situation at the time of cluster head failure.
LEACH requires CHs to transfer their aggregated data to the sink node over a single-
hop link.
12. • Energy Consumption:-
• Energy consumption is the main issue for any data transmission
setup in wireless sensing network.
• System Efficiency:-
• Improvement in cluster head selection can improve system
efficiency.
Our area of work
13. Our area of work(cont…)
• Selection of two CHs on the basis of residual energy.
• One CH perform data gathering, data aggregation and compression.
• Then second CH send the aggregated data to base station.
• The forwarding nodes are selected based on the highest residual
energy among the nodes.
14. Proposed CHs Selection
Energy dissipated in transmission
Energy dissipated in receiving
Energy dissipated by normal cluster nodes
16. Conclusion
• On the basis of traditional LEACH protocol, this project proposes an
energy balance algorithm optimizing cluster-head selection.
• considering the residual energy and distance factors, improves cluster-
head election.
• Improves strategy of non-cluster head node selecting the optimal
cluster-head.
• It balance the network energy consumption, heighten system data
transmission, and prolong the nodes and network life.
17. References
• L Xiang, J Luo, A Vasilakos, Compressed data aggregation for energy
efficient wireless sensor networks, in 2011 8th Annual IEEE
Communications
• Yang Jing , Li Zetao , Lin Yi proposed paper on "AN Improved
Routing Algorithm Based on LEACH for WSN" , in 2013 IEEE
Communication.
• ] Hu Junping , Jin Yuhui , Dou Liang proposed paper on "A Time-
based Cluster-Head Selection Algorithm for LEACH " in 2008 IEEE
Communication
• Chenmin Li , Guoping Tan , Jingyu Wu , Lizhong Xu Analyzing
Cluster-Head Selection Mechanism and improving the LEACH at
2011 IEEE Communication .