Network Blocking Probability Presentation for Voice Communication Engineering.
Designed by Dhawal G. Sharma(Electronics and Telecommunication Student)
Main Reference - Lee’s
Network blocking probability by dhawal sharmaDhawal Sharma
Network Blocking Probability Presentation for Voice Communication Engineering.
Designed by Dhawal G. Sharma(Electronics and Telecommunication Student)
Main Reference - Lee's Blocking Probability by C.Y. Lee
This document provides information about an assignment for a BCA semester 3 subject on data communication. It includes questions about modulation, ground wave and sky wave propagation, Nyquist theorem, time-division multiplexing, least-cost algorithms and Dijkstra's algorithm. It also provides contact information for students to get fully solved assignments by email or phone.
This document contains a summary of the mid-term exam for the Communication Networks course EE 333. The exam has 3 questions. Question 1 involves analyzing the average efficiency of a new Automatic Repeat reQuest (ARQ) technique for different block sizes. Question 2 involves cyclic redundancy checks (CRC) coding and analyzing whether a received code word contains errors. Question 3 involves analyzing a 3-user Slotted ALOHA system and deriving state transition probabilities and maximum throughput.
Delay Limited Transmission Techniques with Low Density Parity Check Method of...IJERA Editor
In a Quasi stationary sources time utilization takes a major role. To implement the delay limited transmission of Quasi stationary sources over block fading channels is considered. Here to reduce the delay we propose the power adaption schemes here we can implement the analytical distortion outage probability as performance measure and also derive the power of each transmission scheme.transmission are presented. The first one is optimizedfor fixed rate transmission, and hence enjoys simplicity of implementation. The second one is a high performance scheme, which also benefits from optimized rate adaptation with respect to source and channel states.for High SNR regime ,the asymptotic outage distortion gain are derived.here another two schemes with fixed transmission powers and adaptive rates are consider for comparisions here source and channel coded optimized power adaption scheme outperforms compare to other schemes,by adding the low density parity check method the delay can be reduced rapidly by using the proposed method.
Fuzzy Optimized Metric for Adaptive Network RoutingCSCJournals
Network routing algorithms used today calculate least cost (shortest) paths between nodes. The cost of a path is the sum of the cost of all links on that path. The use of a single metric for adaptive routing is insufficient to reflect the actual state of the link. In general, there is a limitation on the accuracy of the link state information obtained by the routing protocol. Hence it becomes useful if two or more metrics can be associated to produce a single metric that can describe the state of the link more accurately. In this paper, a fuzzy inference rule base is implemented to generate the fuzzy cost of each candidate path to be used in routing the incoming calls. This fuzzy cost is based on the crisp values of the different metrics; a fuzzy membership function is defined. The parameters of these membership functions reflect dynamically the requirement of the incoming traffic service as well as the current state of the links in the path. And this paper investigates how three metrics, the mean link bandwidth, queue utilization and the mean link delay, can be related using a simple fuzzy logic algorithm to produce a optimized cost of the link for a certain interval that is more „precise‟ than either of the single metric, to solve routing problem .
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Stochastic analysis of random ad hoc networks with maximum entropy deploymentsijwmn
In this paper, we present the first stochastic analysis of the link performance of an ad hoc network modelled
by a single homogeneous Poisson point process (HPPP). According to the maximum entropy principle, the
single HPPP model is mathematically the best model for random deployments with a given node density.
However, previous works in the literature only consider a modified model which shows a discrepancy in the
interference distribution with the more suitable single HPPP model. The main contributions of this paper
are as follows. 1) It presents a new mathematical framework leading to closed form expressions of the
probability of success of both one-way transmissions and handshakes for a deployment modelled by a
single HPPP. Our approach, based on stochastic geometry, can be extended to complex protocols. 2) From
the obtained results, all confirmed by comparison to simulated data, optimal PHY and MAC layer
parameters are determined and the relations between them is described in details. 3) The influence of the
routing protocol on handshake performance is taken into account in a realistic manner, leading to the
confirmation of the intuitive result that the effect of imperfect feedback on the probability of success of a
handshake is only negligible for transmissions to the first neighbour node.
Network blocking probability by dhawal sharmaDhawal Sharma
Network Blocking Probability Presentation for Voice Communication Engineering.
Designed by Dhawal G. Sharma(Electronics and Telecommunication Student)
Main Reference - Lee's Blocking Probability by C.Y. Lee
This document provides information about an assignment for a BCA semester 3 subject on data communication. It includes questions about modulation, ground wave and sky wave propagation, Nyquist theorem, time-division multiplexing, least-cost algorithms and Dijkstra's algorithm. It also provides contact information for students to get fully solved assignments by email or phone.
This document contains a summary of the mid-term exam for the Communication Networks course EE 333. The exam has 3 questions. Question 1 involves analyzing the average efficiency of a new Automatic Repeat reQuest (ARQ) technique for different block sizes. Question 2 involves cyclic redundancy checks (CRC) coding and analyzing whether a received code word contains errors. Question 3 involves analyzing a 3-user Slotted ALOHA system and deriving state transition probabilities and maximum throughput.
Delay Limited Transmission Techniques with Low Density Parity Check Method of...IJERA Editor
In a Quasi stationary sources time utilization takes a major role. To implement the delay limited transmission of Quasi stationary sources over block fading channels is considered. Here to reduce the delay we propose the power adaption schemes here we can implement the analytical distortion outage probability as performance measure and also derive the power of each transmission scheme.transmission are presented. The first one is optimizedfor fixed rate transmission, and hence enjoys simplicity of implementation. The second one is a high performance scheme, which also benefits from optimized rate adaptation with respect to source and channel states.for High SNR regime ,the asymptotic outage distortion gain are derived.here another two schemes with fixed transmission powers and adaptive rates are consider for comparisions here source and channel coded optimized power adaption scheme outperforms compare to other schemes,by adding the low density parity check method the delay can be reduced rapidly by using the proposed method.
Fuzzy Optimized Metric for Adaptive Network RoutingCSCJournals
Network routing algorithms used today calculate least cost (shortest) paths between nodes. The cost of a path is the sum of the cost of all links on that path. The use of a single metric for adaptive routing is insufficient to reflect the actual state of the link. In general, there is a limitation on the accuracy of the link state information obtained by the routing protocol. Hence it becomes useful if two or more metrics can be associated to produce a single metric that can describe the state of the link more accurately. In this paper, a fuzzy inference rule base is implemented to generate the fuzzy cost of each candidate path to be used in routing the incoming calls. This fuzzy cost is based on the crisp values of the different metrics; a fuzzy membership function is defined. The parameters of these membership functions reflect dynamically the requirement of the incoming traffic service as well as the current state of the links in the path. And this paper investigates how three metrics, the mean link bandwidth, queue utilization and the mean link delay, can be related using a simple fuzzy logic algorithm to produce a optimized cost of the link for a certain interval that is more „precise‟ than either of the single metric, to solve routing problem .
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Stochastic analysis of random ad hoc networks with maximum entropy deploymentsijwmn
In this paper, we present the first stochastic analysis of the link performance of an ad hoc network modelled
by a single homogeneous Poisson point process (HPPP). According to the maximum entropy principle, the
single HPPP model is mathematically the best model for random deployments with a given node density.
However, previous works in the literature only consider a modified model which shows a discrepancy in the
interference distribution with the more suitable single HPPP model. The main contributions of this paper
are as follows. 1) It presents a new mathematical framework leading to closed form expressions of the
probability of success of both one-way transmissions and handshakes for a deployment modelled by a
single HPPP. Our approach, based on stochastic geometry, can be extended to complex protocols. 2) From
the obtained results, all confirmed by comparison to simulated data, optimal PHY and MAC layer
parameters are determined and the relations between them is described in details. 3) The influence of the
routing protocol on handshake performance is taken into account in a realistic manner, leading to the
confirmation of the intuitive result that the effect of imperfect feedback on the probability of success of a
handshake is only negligible for transmissions to the first neighbour node.
Discrete and continuous random variables can be used in various engineering applications. Discrete random variables take on countable values and are used when things are counted, like the number of defective items in a batch. Continuous random variables can take any real number value and are used when measurements are made, like the time for a chemical reaction. Some examples given include using discrete variables to find beam loading at points or quality control sampling, and continuous variables to estimate construction time, structural load magnitude, electrical current amounts, and component failure times.
Application of probability in daily life and in civil engineeringEngr Habib ur Rehman
The document provides a history of the development of probability theory. It discusses how probability was first applied to games of chance but developed into a rigorous mathematical field over centuries. Early contributors included Cardano, Fermat, Pascal, Huygens, Bernoulli, and de Moivre. Key concepts like mathematical probability, errors, normal distribution, and Markov chains continued developing through the 18th-19th centuries. Modern probability theory is based on measure theory and used widely today in areas like statistics, science, engineering, and artificial intelligence. The document also gives examples of probability applications in everyday life like risk assessment, reliability analysis, and natural language processing.
This document describes the LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol for wireless microsensor networks. LEACH utilizes randomized rotation of cluster heads to distribute the energy load evenly among the sensors and achieves longer system lifetime. It uses localized coordination and control for data transfers to reduce global network communication. LEACH allows adaptive clustering and uses data aggregation in the clusters to reduce global data transmission and improve system scalability and energy efficiency. Simulation results show that LEACH distributes energy load evenly and outperforms other routing protocols by achieving up to a factor of 4 times increase in system lifetime.
Optical Fiber Communication Part 3 Optical Digital ReceiverMadhumita Tamhane
Current generated by photodetector is very weak and is adversely effected by random noises associated with photo detection process. When amplified, this signal further gets corrupted by amplifiers. Noise considerations are thus important in designing optical receivers.
Most meaningful criteria for measuring performance of a digital communication system is average error probability, and in analog system, it is peak signal to rms noise ratio. ...
Real life situation's example on PROBABILITYJayant Namrani
This document discusses probability and how it relates to real-life situations through examples. It explains that probability is a number between 0 and 1 that indicates the likelihood of an event occurring. Even though outcomes like a coin toss result in either heads or tails, probability allows for numbers between 0 and 1 by considering the long run of many trials. The document then gives examples of calculating probabilities using a bag of marbles and tossing a coin to illustrate how probability models are used to simplify real-world scenarios.
This document discusses the topic of probability and its applications in business. It defines probability theory and describes three types of probability: classical, empirical, and subjective. Probability distributions are also introduced. The document then discusses how probability is used in business for calculating long-term gains and losses, risk evaluation, sales forecasting, manufacturing decisions, and scenario analysis.
The document introduces basic probability concepts and provides examples to illustrate them. It discusses the key properties of probability, types of probability (objective and subjective), mutually exclusive and collectively exhaustive events, and probabilities of independent and dependent events. It also explains Bayes' theorem and how it can be used to update probabilities as new information becomes available.
This document discusses various applications of linear algebra in different fields such as abstract thinking, chemistry, coding theory, cryptography, economics, elimination theory, games, genetics, geometry, graph theory, heat distribution, image compression, linear programming, Markov chains, networking, and sociology. It provides examples of how linear algebra concepts such as systems of linear equations and matrix operations are used in topics like balancing chemical equations, error detection in coding, encryption/decryption, economic models, genetic inheritance, and finding lines and circles in geometry.
Raman spectroscopy is a technique that uses laser light to identify the chemical structure of materials. It has various applications in areas like pharmaceuticals, materials science, gemology, and forensics. The document outlines the principle of Raman spectroscopy, describes Raman instrumentation, discusses its strengths and limitations, and provides examples of its applications. It also discusses challenges like weak signals and spatial resolution that new techniques like surface-enhanced Raman spectroscopy and tip-enhanced Raman spectroscopy are helping to address, broadening Raman spectroscopy's potential.
Mathematics has been used since ancient times, first developing with counting. It is useful in many areas of modern life like business, cooking, and art. Mathematics is the science of shape, quantity, and arrangement, and was used by ancient Egyptians to build the pyramids using geometry and algebra. Percentages can be understood using currency denominations, and fractions can be seen by dividing fruits and vegetables. Geometry, arithmetic, and calculus are applied in fields like construction, markets, engineering, and physics. Mathematics underlies structures and is important for careers requiring university degrees.
The document summarizes key concepts in probability and statistics as they relate to biostatistics and medical research. It discusses basic probability concepts like classical probability, relative frequency probability, and subjective probability. It also covers probability distributions, screening tests, and key metrics like sensitivity and specificity. Specific topics covered include the binomial, Poisson, and normal distributions, conditional probability, joint probability, independence of events, and marginal probability. Examples are provided to demonstrate calculating probabilities from data using concepts like the multiplication rule.
This document summarizes previous research on routing metrics for wireless mesh networks. It discusses how selecting routes with fewer transmissions and retransmissions can improve throughput and delay. Existing approaches optimize either cost or number of hops but not both. The paper proposes a new routing metric and algorithm to find the optimal cost path with the optimal or minimum number of hops, in order to balance throughput, delay, and power consumption for wireless data transmission. It provides an example to illustrate the concept and compares different path options.
A Low Overhead Reachability Guaranteed Dynamic Route Discovery Mechanism for ...ijasuc
A crucial issue for a mobile ad hoc network is the handling of a large number of nodes. As more nodes join
the mobile ad hoc network, contention and congestion are more likely. The on demand routing protocols
which broadcasts control packets to discover routes to the destination nodes, generate a high number of
broadcast packets in a larger networks causing contention and collision. We propose an efficient route
discovery protocol, which reduces the number of broadcast packet, using controlled flooding technique.
The simulation results show that the proposed probabilistic flooding decreases the number of control
packets floating in the network during route discovery phase, without lowering the success ratio of path
discoveries. Furthermore, the proposed method adapts to the normal network conditions. The results show
that up to 70% of control packet traffic is saved in route discovery phase when the network is denser.
1) The document presents a mathematical model for optimizing the value of k in a k-fold multicast network under different traffic loads.
2) The model derives the stationary distribution of network states and develops expressions for throughput and blocking probability.
3) Results show that network throughput increases significantly as k increases up to a point, after which throughput levels off, and blocking probability levels off after a certain k value as well. An optimum k value minimizes blocking probability for a given traffic load.
The document discusses several topics related to computer networks including:
1. The network layer, including design issues like store-and-forward and connection-oriented services. Routing algorithms like shortest path routing and flooding are also discussed.
2. Congestion control principles and policies for preventing congestion in virtual circuits and datagram subnets.
3. Transport layer protocols like TCP and UDP, and how they provide services and manage connections and transmissions.
4. Application layer protocols like DNS for managing domain names and resource records.
Packet-switching networks transfer information as packets that may experience random delays and loss. There are two main approaches: connectionless datagram service which routes packets independently, and connection-oriented virtual circuits which establish paths for packets belonging to a connection. Routing determines the best paths for packets using distributed algorithms that adapt to network changes. Large packet switches use techniques like self-routing, shared memory, and crossbar switches to efficiently route high volumes of packets.
The document discusses circuit switching and virtual circuit networks. It describes how virtual circuits establish connections between hosts, reserve resources along the path to provide quality of service guarantees, and use labels to forward packets. Virtual circuits combine aspects of circuit switching like resource reservations with packet switching by dividing data into packets marked with labels.
The document discusses outage probability in wireless communication. It introduces communication systems and challenges like bandwidth, latency, and interference. It then defines outage as the signal strength falling below a threshold at the receiver. The key factors that affect outage probability are discussed, including distance, path loss, shadowing, and noise. Equations are provided to calculate outage probability based on these parameters. Graphs are also used to illustrate the relationship between received power and outage probability.
This document proposes a discrete wavelet transform (DWT)-based channel estimation method for MIMO-OFDM systems. It describes the transmitter and receiver structures of a wavelet-based OFDM system with multiple antennas. At the transmitter, data is modulated using inverse DWT and transmitted over frequency-selective channels. At the receiver, received signals are processed using DWT to estimate the channel. Least squares and minimum mean squared error estimation techniques are discussed. Simulation results show the DWT-based system achieves better bit error rate performance than conventional FFT-based OFDM.
Achieving Optimum Value of k in a K-fold Multicast Network with Buffer using ...cscpconf
Multicast network is widely used for effective communication, transmission and performance
optimizations of a network. In this paper, a new model has been developed to determine a
suitable value of the fold k of a k-fold multicast network under different traffic loads under
Poisson traffic with finite queue at each node. We have derived stationary distribution for the
network states and then derived expressions for the network throughput and the blocking
probability of the network. It has been found in this research work that the network throughput
increases very fast as we increase the fold number. However, at a certain value of the fold, the
blocking probability ceases to increase and it remains constant. We have also observed that as
the offered traffic is increased, the throughput also increases. Moreover, the system parameter k
is increased, the blocking probability decreases. However, after an optimum value of k, the
blocking probability remains constant for a particular value of the offered traffic. In fact, in this
paper, by evaluating the performance of a k-fold multicast network, our developed model improves the performance of a multicast network.
Discrete and continuous random variables can be used in various engineering applications. Discrete random variables take on countable values and are used when things are counted, like the number of defective items in a batch. Continuous random variables can take any real number value and are used when measurements are made, like the time for a chemical reaction. Some examples given include using discrete variables to find beam loading at points or quality control sampling, and continuous variables to estimate construction time, structural load magnitude, electrical current amounts, and component failure times.
Application of probability in daily life and in civil engineeringEngr Habib ur Rehman
The document provides a history of the development of probability theory. It discusses how probability was first applied to games of chance but developed into a rigorous mathematical field over centuries. Early contributors included Cardano, Fermat, Pascal, Huygens, Bernoulli, and de Moivre. Key concepts like mathematical probability, errors, normal distribution, and Markov chains continued developing through the 18th-19th centuries. Modern probability theory is based on measure theory and used widely today in areas like statistics, science, engineering, and artificial intelligence. The document also gives examples of probability applications in everyday life like risk assessment, reliability analysis, and natural language processing.
This document describes the LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol for wireless microsensor networks. LEACH utilizes randomized rotation of cluster heads to distribute the energy load evenly among the sensors and achieves longer system lifetime. It uses localized coordination and control for data transfers to reduce global network communication. LEACH allows adaptive clustering and uses data aggregation in the clusters to reduce global data transmission and improve system scalability and energy efficiency. Simulation results show that LEACH distributes energy load evenly and outperforms other routing protocols by achieving up to a factor of 4 times increase in system lifetime.
Optical Fiber Communication Part 3 Optical Digital ReceiverMadhumita Tamhane
Current generated by photodetector is very weak and is adversely effected by random noises associated with photo detection process. When amplified, this signal further gets corrupted by amplifiers. Noise considerations are thus important in designing optical receivers.
Most meaningful criteria for measuring performance of a digital communication system is average error probability, and in analog system, it is peak signal to rms noise ratio. ...
Real life situation's example on PROBABILITYJayant Namrani
This document discusses probability and how it relates to real-life situations through examples. It explains that probability is a number between 0 and 1 that indicates the likelihood of an event occurring. Even though outcomes like a coin toss result in either heads or tails, probability allows for numbers between 0 and 1 by considering the long run of many trials. The document then gives examples of calculating probabilities using a bag of marbles and tossing a coin to illustrate how probability models are used to simplify real-world scenarios.
This document discusses the topic of probability and its applications in business. It defines probability theory and describes three types of probability: classical, empirical, and subjective. Probability distributions are also introduced. The document then discusses how probability is used in business for calculating long-term gains and losses, risk evaluation, sales forecasting, manufacturing decisions, and scenario analysis.
The document introduces basic probability concepts and provides examples to illustrate them. It discusses the key properties of probability, types of probability (objective and subjective), mutually exclusive and collectively exhaustive events, and probabilities of independent and dependent events. It also explains Bayes' theorem and how it can be used to update probabilities as new information becomes available.
This document discusses various applications of linear algebra in different fields such as abstract thinking, chemistry, coding theory, cryptography, economics, elimination theory, games, genetics, geometry, graph theory, heat distribution, image compression, linear programming, Markov chains, networking, and sociology. It provides examples of how linear algebra concepts such as systems of linear equations and matrix operations are used in topics like balancing chemical equations, error detection in coding, encryption/decryption, economic models, genetic inheritance, and finding lines and circles in geometry.
Raman spectroscopy is a technique that uses laser light to identify the chemical structure of materials. It has various applications in areas like pharmaceuticals, materials science, gemology, and forensics. The document outlines the principle of Raman spectroscopy, describes Raman instrumentation, discusses its strengths and limitations, and provides examples of its applications. It also discusses challenges like weak signals and spatial resolution that new techniques like surface-enhanced Raman spectroscopy and tip-enhanced Raman spectroscopy are helping to address, broadening Raman spectroscopy's potential.
Mathematics has been used since ancient times, first developing with counting. It is useful in many areas of modern life like business, cooking, and art. Mathematics is the science of shape, quantity, and arrangement, and was used by ancient Egyptians to build the pyramids using geometry and algebra. Percentages can be understood using currency denominations, and fractions can be seen by dividing fruits and vegetables. Geometry, arithmetic, and calculus are applied in fields like construction, markets, engineering, and physics. Mathematics underlies structures and is important for careers requiring university degrees.
The document summarizes key concepts in probability and statistics as they relate to biostatistics and medical research. It discusses basic probability concepts like classical probability, relative frequency probability, and subjective probability. It also covers probability distributions, screening tests, and key metrics like sensitivity and specificity. Specific topics covered include the binomial, Poisson, and normal distributions, conditional probability, joint probability, independence of events, and marginal probability. Examples are provided to demonstrate calculating probabilities from data using concepts like the multiplication rule.
This document summarizes previous research on routing metrics for wireless mesh networks. It discusses how selecting routes with fewer transmissions and retransmissions can improve throughput and delay. Existing approaches optimize either cost or number of hops but not both. The paper proposes a new routing metric and algorithm to find the optimal cost path with the optimal or minimum number of hops, in order to balance throughput, delay, and power consumption for wireless data transmission. It provides an example to illustrate the concept and compares different path options.
A Low Overhead Reachability Guaranteed Dynamic Route Discovery Mechanism for ...ijasuc
A crucial issue for a mobile ad hoc network is the handling of a large number of nodes. As more nodes join
the mobile ad hoc network, contention and congestion are more likely. The on demand routing protocols
which broadcasts control packets to discover routes to the destination nodes, generate a high number of
broadcast packets in a larger networks causing contention and collision. We propose an efficient route
discovery protocol, which reduces the number of broadcast packet, using controlled flooding technique.
The simulation results show that the proposed probabilistic flooding decreases the number of control
packets floating in the network during route discovery phase, without lowering the success ratio of path
discoveries. Furthermore, the proposed method adapts to the normal network conditions. The results show
that up to 70% of control packet traffic is saved in route discovery phase when the network is denser.
1) The document presents a mathematical model for optimizing the value of k in a k-fold multicast network under different traffic loads.
2) The model derives the stationary distribution of network states and develops expressions for throughput and blocking probability.
3) Results show that network throughput increases significantly as k increases up to a point, after which throughput levels off, and blocking probability levels off after a certain k value as well. An optimum k value minimizes blocking probability for a given traffic load.
The document discusses several topics related to computer networks including:
1. The network layer, including design issues like store-and-forward and connection-oriented services. Routing algorithms like shortest path routing and flooding are also discussed.
2. Congestion control principles and policies for preventing congestion in virtual circuits and datagram subnets.
3. Transport layer protocols like TCP and UDP, and how they provide services and manage connections and transmissions.
4. Application layer protocols like DNS for managing domain names and resource records.
Packet-switching networks transfer information as packets that may experience random delays and loss. There are two main approaches: connectionless datagram service which routes packets independently, and connection-oriented virtual circuits which establish paths for packets belonging to a connection. Routing determines the best paths for packets using distributed algorithms that adapt to network changes. Large packet switches use techniques like self-routing, shared memory, and crossbar switches to efficiently route high volumes of packets.
The document discusses circuit switching and virtual circuit networks. It describes how virtual circuits establish connections between hosts, reserve resources along the path to provide quality of service guarantees, and use labels to forward packets. Virtual circuits combine aspects of circuit switching like resource reservations with packet switching by dividing data into packets marked with labels.
The document discusses outage probability in wireless communication. It introduces communication systems and challenges like bandwidth, latency, and interference. It then defines outage as the signal strength falling below a threshold at the receiver. The key factors that affect outage probability are discussed, including distance, path loss, shadowing, and noise. Equations are provided to calculate outage probability based on these parameters. Graphs are also used to illustrate the relationship between received power and outage probability.
This document proposes a discrete wavelet transform (DWT)-based channel estimation method for MIMO-OFDM systems. It describes the transmitter and receiver structures of a wavelet-based OFDM system with multiple antennas. At the transmitter, data is modulated using inverse DWT and transmitted over frequency-selective channels. At the receiver, received signals are processed using DWT to estimate the channel. Least squares and minimum mean squared error estimation techniques are discussed. Simulation results show the DWT-based system achieves better bit error rate performance than conventional FFT-based OFDM.
Achieving Optimum Value of k in a K-fold Multicast Network with Buffer using ...cscpconf
Multicast network is widely used for effective communication, transmission and performance
optimizations of a network. In this paper, a new model has been developed to determine a
suitable value of the fold k of a k-fold multicast network under different traffic loads under
Poisson traffic with finite queue at each node. We have derived stationary distribution for the
network states and then derived expressions for the network throughput and the blocking
probability of the network. It has been found in this research work that the network throughput
increases very fast as we increase the fold number. However, at a certain value of the fold, the
blocking probability ceases to increase and it remains constant. We have also observed that as
the offered traffic is increased, the throughput also increases. Moreover, the system parameter k
is increased, the blocking probability decreases. However, after an optimum value of k, the
blocking probability remains constant for a particular value of the offered traffic. In fact, in this
paper, by evaluating the performance of a k-fold multicast network, our developed model improves the performance of a multicast network.
This document summarizes circuit switching and packet switching techniques in communications networks. It discusses how circuit switching establishes a dedicated physical path between communicating nodes but is inefficient for bursty traffic. Packet switching breaks messages into packets that are transmitted over shared links, improving efficiency. Key aspects covered include virtual circuits, datagrams, packet switching advantages, X.25 standards, and how Frame Relay improved on X.25 by reducing overhead.
FUZZY-CONTROLLED POWER-AWARE PROACTIVE-ACKNOWLEDGEMENT BASED BROADCASTING (FP...cscpconf
Network-wide broadcasting is a fundamental operation for mobile ad hoc networks. Inbroadcasting, a source node sends a message to all other nodes in the network. Under ordinary
flooding procedure, each node transmits the broadcast message to all of its 1-hop downlinkneighbours, i.e. all nodes residing within its radio-range. Receiving the broadcast message all those downlink neighbours reply with an acknowledgement. Since in an ad hoc network a node
may have multiple uplink neighbours, in ordinary flooding procedure, a node is supposed to receive the broadcast message from all those uplink neighbours and send acknowledgement to all of them, generating huge message contention and collision. This is popularly referred to as
the broadcast storm problem. The present article is focused to remove the broadcast redundancy within 2-hop neighbourhood and beyond, as much as possible by prioritizing the 1-
hop downlink neighbours of a node. Priority of a 1-hop downlink neighbour of a node ni increases if it is equipped with a large number of 1-hop downlink neighbours, large radiorange,
high remaining battery power and very small number of uplink neighbours closer to the broadcast source than ni
. ni waits a predefined amount of time to receive proactive
acknowledgements from the 1-hop downlink neighbours having less priority. If it does not receive acknowledgement from those downlink neighbours within the waiting time, it sends the
broadcast message to them. A fuzzy controller named Priority Assignor (PA) is embedded in every node that determines the priority of a 1-hop downlink neighbour. Simulation results firmly
establish that the proposed protocol FP2 B produces high broadcast delivery ratio at muchlesser message cost, compared to other state-of-the-art broadcast algorithms.
Mobile ad-hoc networks have frequent host and topology changes with no cellular infrastructure and require multi-hop wireless links for data transmission between nodes. Routing protocols must discover routes between nodes that may not be directly connected. Table-driven protocols like Destination Sequenced Distance Vector (DSDV) and Wireless Routing Protocol (WRP) maintain up-to-date routing tables through periodic broadcasts but generate significant control overhead. DSDV uses sequence numbers to distinguish stale routes and avoid loops while WRP maintains four tables for routing information.
This document summarizes a study on the hidden node problem in IEEE 802.15.4/ZigBee wireless sensor networks. The study used an OPNET simulation model to evaluate the impact of hidden nodes on network performance. The results showed that as traffic load increased, goodput ratio and packet delivery time decreased while energy consumption per bit increased, due to more frequent packet collisions from hidden nodes. The hidden node problem caused significant packet loss and degraded network performance. Further work to address this problem by implementing RTS/CTS handshaking was proposed.
The document discusses simulating distance vector routing and link state routing algorithms using the NS2 network simulator. It provides background on routing, describes distance vector and flooding routing algorithms, and includes the NS2 code used to simulate a simple network with four nodes using distance vector routing. The simulation establishes connections between nodes using TCP and UDP, introduces a route change, and monitors the routing table updates. The result is that the distance vector routing algorithm was successfully simulated.
A DELAY – CONSTRAINED IN MULTICAST ROUTING USING JIA ALGORITHMIJCI JOURNAL
The Distributed multicast routing protocol under delay constraints, is one of the software, which requires simultaneous transmission of message from a source to a group of destinations within specified time delay. For example. Video Conferencing system. Multicast routing is to find a routing tree which is routed from the source and contains all the destinations. The principle goal of multicast routing is to minimize the network cost. A tree with minimal overall cost is called a Steiner tree. Finding such tree is the principle of the NP complete.
Many inexpensive heuristic algorithms have been proposed for the Steiner tree problem. However, most of the proposed algorithms are centralized in nature. Centralized algorithm requires a central node to be responsible for computing the tree and this central node must have full knowledge about the global network. But, this is not practical in large networks. Therefore, existing algorithms suffer from the drawback such as heavy communication cost, long connection setup time and poor quality of produced routing trees. So far, a little work has been done on finding delay bounded Steiner tree in a distributed manner. An effort is made in this paper to this effect. The Study reveals that the drawbacks mentioned
above has been sufficiently reduced. This paper gives complete guidelines for authors submitting papers for the AIRCC Journals.
This document summarizes a study on modeling GPRS session time distribution. The study group was asked to construct a model for simultaneous transmission of voice and data on mobile networks and determine equipment needs to provide a required quality of service. The summary develops:
1) A Markov chain model where voice calls have priority over data calls. The model accounts for variable voice, data arrival rates and data call sizes.
2) An initial model where each data call uses one channel. Balance equations are developed to calculate the stationary distribution.
3) Future work is outlined to model variable data call channel usage and develop numerical solutions to understand performance metrics like mean wait times.
Iaetsd a novel scheduling algorithms for mimo based wireless networksIaetsd Iaetsd
This document proposes new scheduling algorithms for MIMO wireless networks to improve system performance. It discusses designing practical user scheduling algorithms to maximize capacity in MIMO systems. Various MAC scheduling policies are implemented and modified to provide distributed traffic control, robustness against interference, and increased efficiency of resource utilization. Simulations using MATLAB compare the different policies and draw important results and conclusions. The paper suggests new priority scheduling and partially fair scheduling algorithms incorporating awareness of interference to improve system-level performance in MIMO wireless networks.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
30. Terminologies and Equations p = probability that the link is busy(Occupancy, loading or utilization percentage) q = probability that the link is idle = (1-p) n = no of parallel links used to complete a connection. Probability that all links are busy = (p)^n. = 1 - (q)^n
31. Consider a 3 stage n/w k = no of different paths p’ = probability that any particular inter-mediate link is busy q’ = probability that any particular inter-mediate link is idle Probability of blocking – B = (probability that all paths are busy) = (probability that an arbitrary link is busy)^k = (probability that atleast one link is busy)^k = (1 - (q’)^2)^k p’ = p/ β Β = k/n 3 stage n/w