In digital modulation, minimum-shift keying(MSK) is a type of continuous-phase frequency-shift keying that was developed in the late 1950s and 1960s.
Similar to OQPSK(Offset quadrature phase-shift keying),
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)
In digital modulation, minimum-shift keying(MSK) is a type of continuous-phase frequency-shift keying that was developed in the late 1950s and 1960s.
Similar to OQPSK(Offset quadrature phase-shift keying),
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 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\
LOAD BALANCED CLUSTERING WITH MIMO UPLOADING TECHNIQUE FOR MOBILE DATA GATHER...Munisekhar Gunapati
A three-layer framework is proposed for mobile data collection in wireless sensor networks, which includes the sensor layer, cluster head layer, and mobile collector (called SenCar) layer. The framework employs distributed load balanced clustering and dual data uploading, which is referred to as LBC-MIMO. The objective is to achieve good scalability, long network lifetime and low data collection latency. At the sensor layer, a distributed load balanced clustering (LBC) algorithm is proposed for sensors to self-organize themselves into clusters. In contrast to existing clustering methods, our scheme generates multiple cluster heads in each cluster to balance the work load and facilitate dual data uploading. At the cluster head layer, the inter-cluster transmission range is carefully chosen to guarantee the connectivity among the clusters. Multiple cluster heads within a cluster cooperate with each other to perform energy-saving inter-cluster communications. Through inter-cluster transmissions, cluster head information is forwarded to SenCar for its moving trajectory planning. At the mobile collector layer, SenCar is equipped with two antennas, which enables two cluster heads to simultaneously upload data to SenCar in each time by utilizing multi-user multiple-input and multiple-output (MU-MIMO) technique. The trajectory planning for SenCar is optimized to fully utilize dual data uploading capability by properly selecting polling points in each cluster. By visiting each selected polling point, SenCar can efficiently gather data from cluster heads and transport the data to the static data sink. Extensive simulations are conducted to evaluate the effectiveness of the proposed LBC-MIMO scheme. The results show that when each cluster has at most two cluster heads, LBC-MIMO achieves over 50 percent energy saving per node and 60 percent energy saving on cluster heads comparing with data collection through multi-hop relay to the static data sink, and 20 percent shorter data collection time compared to traditional mobile data gathering.
Wireless sensor networks have recently come into prominence because they hold the
potential to revolutionize many segments. The Wireless Sensor Network (WSN) is made up of a
collection of sensor nodes, which were small energy constrained devices. Routing technique is one of
the research area in wireless sensor network. So by designing an efficient routing protocol for
reducing energy consumption is the important factor. In this paper, a brief introduction to routing
challenges in WSN have been mentioned. This paper also provides the basic classification of routing
protocols in WSNs along with the most energy efficient protocol named LEACH along with its
advantages and disadvantages. This paper also focus on some of the improved version of LEACH
protocol.
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.
Improved Performance of LEACH for WSN Using Precise Number of Cluster-Head an...ijsrd.com
Wireless microsensor systems will facilitate the reliable monitoring of a variety of environments for several applications like as civil and military. In this paper, we look at modified LEACH protocol. This paper presents a new approach to clustering wireless sensor networks and determining cluster heads. LEACH is a hierarchical cluster algorithm in which Cluster-Heads are randomly selected from the nodes. Here, I apply new approach for selection of Cluster-Head according to their initial and residual energy of all the nodes and according to their initial and residual energy nodes are eligible for cluster head in the next round. Results of new approach of LEACH protocol compared with Conventional routing protocol.
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.
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.
Single node architecture: hardware and software components of a sensor node - WSN
Network architecture: typical network architectures-data relaying and aggregation strategies -
MAC layer protocols: self-organizing, Hybrid TDMA/FDMA and CSMA based MAC- IEEE
802.15.4
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.
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.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
2. Need
• Cheap and energy-efficient as possible and rely on their large
numbers to obtain high quality results.
• Fault tolerance while minimizing energy consumption.
• Since the limited wireless channel bandwidth must be shared
among all the sensors in the network, routing protocols for
these networks should be able to perform local collaboration to
reduce bandwidth requirements.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
3. Network routing protocols for WSNs
(Energy Analysis)
• Direct communication with BS
• Minimum energy multi-hop routing using sensor networks and
radio models
• Clustering
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
4. Direct communication with BS
• Each sensor sends its data directly to the base station.
• Possibly optimal if either the base station is close to the nodes,
or the energy required to receive data is large.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
5. Minimum energy multi-hop routing
• Nodes route data destined ultimately for the base station
through intermediate nodes.
• The intermediate nodes are chosen such that the transmit
amplifier energy is minimized.
• Rather than just one (high-energy) transmit of the data, each
data message must go through n (low-energy) transmits and n
receives
• Shorten system lifetime as the nodes closest to the base station
are the ones to die out first since they are the ones most used
as “routers” for other sensors’ data.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
6. Clustering
• Nodes are organized into clusters that communicate with a
local base station, and these local base stations transmit the
data to the global base station, where it is accessed by the end-
user.
• If the base station is an energy-constrained node, it would die
quickly, as it is being heavily utilized.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
7. LEACH
• Low-Energy Adaptive Clustering Hierarchy
• Clustering-based protocol
• Select sensor nodes as CHs by rotation, so the high energy
dissipation in communicating with the BS is distributed evenly
to all sensor nodes in the network.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
8. Assumption
• The base station is fixed and located far from the sensors.
• All nodes in the network are homogeneous and energy
constrained.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
9. Key Features
• Localized coordination and control for cluster set-up and
operation.
• Randomized rotation of the cluster “base stations” or “cluster-
heads” and the corresponding clusters.
• Local compression to reduce global communication.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
10. LEACH
• The nodes organize themselves into local clusters, with one
node acting as the local base station or cluster-head.
• Cluster-head nodes broadcast their status to the other sensors
in the network.
• Each sensor node determines to which cluster it wants to
belong by choosing the cluster-head.
• Each cluster-head creates a schedule for the nodes in its
cluster.
• Once the cluster-head has all the data from the nodes in its
cluster, the cluster-head node aggregates the data and then
transmits the compressed data to the base station.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
11. Comparative Analysis
System lifetime using direct transmission,
MTE routing, static clustering, and
LEACH with 0.5 J/node
Total system energy dissipated using
direct communication, MTE routing
and LEACH for the 100node random
network,
Eelec=50nJ/bit, εamp=100pJ/bit/m2 and
the messages are 2000 bits
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
12. Algorithm
• The operation of LEACH is broken up into rounds.
• Each round comprises 2 phases
1. Set-up phase: when the clusters are organized,
2. Steady-state phase: when data transfers to the base
station.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
13. Set-up Phase
• Decision of nodes to become cluster head
• Node n selects random number between 0 and 1
• If number is less than threshold T(n), node become cluster head for
current round. [T(n)]
• Cluster head nodes uses CSMA MAC protocol to broadcast
advertisement message to the rest of the nodes with same transmit
energy.
• According to the received signal strength nodes decides the cluster to
which it will belong in the round.
• Each node transmit information of its cluster head selection to
the cluster head again using CSMA MAC protocol.
• Cluster head creates a TDMA schedule telling the nodes when
to transmit.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
14. Set-up Phase
Threshold Computation
[BACK]
)
1
mod(*1
P
rP
P
T(n) =
if n ϵ G
0 otherwise
n = node
P = the desired percentage of cluster
heads
r = the current round
G = set of nodes that have not been
cluster-heads in the last 1/P
rounds
During round 0, each node has a
probability P of becoming a
cluster-head. The nodes that are
cluster-heads in round 0 cannot
be cluster-heads for the next 1/P
rounds.
After 1/P-1 rounds, T=1for any
nodes that have not yet been
cluster-heads.
And after 1/P rounds, all nodes
are once again eligible to become
cluster-heads.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
15. Steady-state Phase
• The radio of each non-cluster-head node can be turned off
until the node’s allocated transmission time ( according to
TDMA schedule).
• The cluster-head node must keep its receiver on to receive all
the data from the nodes in the cluster.
• When all the data has been received, then cluster head node
performs signal processing functions to compress the data into
a single signal.
• This composite signal is sent to the base station.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
16. Conclusion
• LEACH distributes the energy among the nodes in the network
and is effective in reducing energy dissipation from a global
perspective.
• LEACH effectively enhances the system lifetime.
• LEACH is completely distributed, requiring no control
information from the base station, and the nodes do not require
knowledge of the global network in order for LEACH to
operate.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha
17. Reference
W.R. Heinzelman, A. Chandrakasan, H. Balakrishnan, “Energy-Efficient
Communication Protocol for Wireless Microsensor Networks”, Proceedings of the
33rd Annual Hawaii International Conference on System Sciences, Maui, HI, USA,
pp. 10–19, 4–7 January 2000.
AKANKSHA UPADHYAY, Research Student, SATI, Vidisha