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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT On the real time hardware implementa...IEEEGLOBALSOFTTECHNOLOGIES
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JPD1428 Multicast Capacity in MANET with Infrastructure Supportchennaijp
We have best 2014 free dot not projects topics are available along with all document, you can easy to find out number of documents for various projects titles.
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PERFORMANCE ANALYSIS OF OLSR PROTOCOL IN MANET CONSIDERING DIFFERENT MOBILITY...ijwmn
A Mobile Ad Hoc Network (MANET) is created when an independent mobile node network is connected
dynamically via wireless links. MANET is a self-organizing network that does not rely on pre-existing
infrastructure such as wired or wireless network routers. Mobile nodes in this network move randomly,
thus, the topology is always changing. Routing protocols in MANET are critical in ensuring dependable
and consistent connectivity between the mobile nodes. They conclude logically based on the interaction
between mobile nodes in MANET routing and encourage them to choose the optimum path between source
and destination. Routing protocols are classified as proactive, reactive, or hybrid. The focus of this project
will be on Optimized Link State Routing (OLSR) protocol, a proactive routing technique. OLSR is known as
the optimized variant of link state routing in which packets are sent throughout the network using the
multipoint relay (MPR) mechanism. This article evaluates the performance of the OLSR routing protocol
under condition of changing mobility speed and network density. The study's performance indicators are
average packet throughput, packet delivery ratio (PDR), and average packet latency. Network Simulator 2
(NS-2) and an external patch UM-OLSR are used to simulate and evaluate the performance of such
protocol. As a result of research, the approach of implementing the MPR mechanism are able to minimise
redundant data transmission during the normal message broadcast. The MPRs enhance the link state
protocols’ traditional diffusion mechanism by selecting the right MPRs. Hence, the number of undesired
broadcasts can be reduced and limited. Further research will focus on different scenario and environment
using different mobility model
This compare and evaluate two routing protocols DSR and CBRP in ad hoc networks. DSR is based on flat topology and CBRP is of cluster based. Both are compared in different number of scenarios and their performances are compared in terms of pdf, channel utilization, nrl, average end to end delay and control overheads.
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT On the real time hardware implementa...IEEEGLOBALSOFTTECHNOLOGIES
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JPD1428 Multicast Capacity in MANET with Infrastructure Supportchennaijp
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PERFORMANCE ANALYSIS OF OLSR PROTOCOL IN MANET CONSIDERING DIFFERENT MOBILITY...ijwmn
A Mobile Ad Hoc Network (MANET) is created when an independent mobile node network is connected
dynamically via wireless links. MANET is a self-organizing network that does not rely on pre-existing
infrastructure such as wired or wireless network routers. Mobile nodes in this network move randomly,
thus, the topology is always changing. Routing protocols in MANET are critical in ensuring dependable
and consistent connectivity between the mobile nodes. They conclude logically based on the interaction
between mobile nodes in MANET routing and encourage them to choose the optimum path between source
and destination. Routing protocols are classified as proactive, reactive, or hybrid. The focus of this project
will be on Optimized Link State Routing (OLSR) protocol, a proactive routing technique. OLSR is known as
the optimized variant of link state routing in which packets are sent throughout the network using the
multipoint relay (MPR) mechanism. This article evaluates the performance of the OLSR routing protocol
under condition of changing mobility speed and network density. The study's performance indicators are
average packet throughput, packet delivery ratio (PDR), and average packet latency. Network Simulator 2
(NS-2) and an external patch UM-OLSR are used to simulate and evaluate the performance of such
protocol. As a result of research, the approach of implementing the MPR mechanism are able to minimise
redundant data transmission during the normal message broadcast. The MPRs enhance the link state
protocols’ traditional diffusion mechanism by selecting the right MPRs. Hence, the number of undesired
broadcasts can be reduced and limited. Further research will focus on different scenario and environment
using different mobility model
This compare and evaluate two routing protocols DSR and CBRP in ad hoc networks. DSR is based on flat topology and CBRP is of cluster based. Both are compared in different number of scenarios and their performances are compared in terms of pdf, channel utilization, nrl, average end to end delay and control overheads.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Optimal multicast capacity and delay...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
TOPOLOGY DISCOVERY IN MULTI-HOP CLUSTERING VEHICULAR NETWORKScaijjournal
In this paper, we propose a novel multi-hop cluster architecture for location service protocol in vehicular ad
hoc networks. The proposed scheme uses two parameters which are the connectivity between vehicles and the
vehicle mobility to select cluster head. The performance of the proposed scheme is the tradeoff between the
vehicle locations and the communication overheads. The proposed scheme is not only scalable but also
reliable and is able to achieve high load balancing with fast convergence. The cluster constructed by the
proposed scheme is more stable than exiting vehicular ad hoc network clustering schemes. Specifically, the
proposed scheme can increase the cluster-head lifetime up to 50%. The reason behind this achievement is
that the proposed scheme considers vehicle mobility in terms of average link expiration time while selecting
cluster-head.
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Optimal multicast capacity and delay...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
TOPOLOGY DISCOVERY IN MULTI-HOP CLUSTERING VEHICULAR NETWORKScaijjournal
In this paper, we propose a novel multi-hop cluster architecture for location service protocol in vehicular ad
hoc networks. The proposed scheme uses two parameters which are the connectivity between vehicles and the
vehicle mobility to select cluster head. The performance of the proposed scheme is the tradeoff between the
vehicle locations and the communication overheads. The proposed scheme is not only scalable but also
reliable and is able to achieve high load balancing with fast convergence. The cluster constructed by the
proposed scheme is more stable than exiting vehicular ad hoc network clustering schemes. Specifically, the
proposed scheme can increase the cluster-head lifetime up to 50%. The reason behind this achievement is
that the proposed scheme considers vehicle mobility in terms of average link expiration time while selecting
cluster-head.
CCCS' Digital Badge Possibilitites IMS Global Badging and Credentials Conveni...cccschamp
Colorado Community College System's digital Badge journey CCCC's Digital Badge Possibilitites IMS Global Badging and Credentail Convening Austin TX November 2015
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Routing in « Delay Tolerant Networks » (DTN) Improved Routing With Prophet an...CSCJournals
In this paper, we address the problem of routing in “delay tolerant networks” (DTN). In such networks there is no guarantee of finding a complete communication path connecting the source and the destination at any time, especially when the destination is not in the same region of the source, what makes the traditional routing protocols inefficient in that transmission of the messages between nodes. We propose to combine the routing protocol Prophet and the model of \"transfer by delegation\" (custody transfer) to improve the routing in DTN network and to exploit the nodes as a common carriers of messages between the network partitioned. To implement this approach and assess those improvements and changes we developed a DTN simulator. Simulation examples are illustrated in the article.
JPN1404 Optimal Multicast Capacity and Delay Tradeoffs in MANETschennaijp
Get the latest IEEE ns2 projects in JP INFOTECH; we are having following category wise projects like Industrial Informatics, Vehicular Technology, Networking, WSN and Manet.
For More Details:
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International Journal of Pharmaceutical Science Invention (IJPSI)inventionjournals
International Journal of Pharmaceutical Science Invention (IJPSI) is an international journal intended for professionals and researchers in all fields of Pahrmaceutical Science. IJPSI publishes research articles and reviews within the whole field Pharmacy and Pharmaceutical Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Destination Aware APU Strategy for Geographic Routing in MANETEditor IJCATR
In this paper, we have explained the Enhanced Adaptive Position Update strategy for geographic routing in mobile ad hoc
network In Adaptive Position Update strategy, there are two techniques: Mobility prediction rule and On-demand learning rule. Proposed
system is based on the destination aware routing in which path to transfer the data over the network is based on the distance from highly
stable node to the destination node. Results of the proposed system are compared with Periodic Beaconing on the basis of packet delivery
ratio, beacon overhead, energy consumption. Experiment results show a high improvement in results on the parameters energy
consumption, packet delivery ratio and beacon overhead. Proposed work is implemented on the NS2 (Network Simulator) Environment
to perform experiments.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Mobile Relay Configuration in Data-Intensuive Wireless Sensor with Three Rout...IJERA Editor
Wireless sensor network are increasingly used in data-intensive applications such as micro-climate monitoring,
precision agriculture and audio/video surveillance. A key challenges faced by data-intensive wsn’s is to transmit
all the data generated with an application’s lifetime to the base station despite the fact that sensor nodes have
limited power supply. We propose using low-cost disposable mobile really and our work in the following
aspects First, it does not require complex motion planning of mobile nodes. Second we integrate the energy
consumption due to both mobility and wireless transmission. Our framework consists of first algorithm
computes an optimal routing tree. The second, we integrate the energy consumption due to both mobility and
wireless transmissions .The second algorithm improves the topology of the routing tree by greedily adding new
nodes. The third algorithm improves the routing tree by relocating its nodes without changing its topology.
Frequently forming a network topology without the use of any existing network infrastructure. We compare the
performance of the three prominent routing protocols for the mobile relay is Adhoc on Demand Distance Vector
(ADVO), Destination Sequenced Distance Vector (DSDV) and Temporally Ordered Routing Protocols (TORA).
We have chosen four performance metrics such as Average Delay, Packet Delivery Fraction, Routing load and
varying Mobility nodes, simulation for the popular routing protocols AODV, DSDV, and TORA. The
simulation is carried out on NS-2. The performance differentials are analyzed using varying network size and
simulations times. The simulation results confirm that ADVO performs well in terms of Average Delay, Packet
Delivery Fraction. As far as routing load concers TORA performs well.
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Vampire attacks draining life from w...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Model based analysis of wireless sys...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Mobile relay configuration in data i...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Distributed cooperative caching in s...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Delay optimal broadcast for multihop...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Cooperative packet delivery in hybri...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Content sharing over smartphone base...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Community aware opportunistic routin...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Adaptive position update for geograp...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT A scalable server architecture for m...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Attribute based access to scalable me...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Attribute based access to scalable me...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Scalable and secure sharing of person...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing fo...IEEEGLOBALSOFTTECHNOLOGIES
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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
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.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Assuring Contact Center Experiences for Your Customers With ThousandEyes
JAVA 2013 IEEE MOBILECOMPUTING PROJECT Optimal Multicast Capacity and Delay Tradeoffs in MANETs
1. Optimal Multicast Capacity and Delay Tradeoffs In MANETs
ABSTRACT
In this paper, we give a global perspective of multicast capacity and delay analysis in Mobile Ad Hoc Networks
(MANETs). Specifically, we consider four node mobility models:
1. Two-dimensional mobility,
2. Two-dimensional hybrid random walk,
3. One-dimensional mobility, and
4. One-dimensional hybrid random walk.
Two mobility time-scales are investigated in this paper:
Fast mobility where node mobility is at the same time-scale as data transmissions;
Slow mobility where node mobility is assumed to occur at a much slower time-scale than data
transmissions. Given a delay constraint D, we first characterize the optimal multicast capacity for each
of the eight types of mobility models, and then we develop a scheme that can achieve a capacity-delay
tradeoff close to the upper bound up to a logarithmic factor. In addition, we also study heterogeneous
networks with infrastructure support.
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2. EXISTING SYSTEM
In Existing System, A single session cannot make full use of the network capacity due to the overhead
of the root in the spanning tree. The second difference is the definition of throughput. In multicast scheme, all
the k destinations in a session receive the same packet, and only one packet can be treated as valid and the other
k Θ (1) packets are redundancies. Search the optimal capacity delay tradeoff and identify the limiting factors of
the existing scheduling schemes in MANETs.
Disadvantage:
Limiting factors
Low redundancy.
PROPOSED SYSTEM
In Proposed System, assume that at each time slot, bits can be transmitted in a successful transmission.
Mobility time scales: Two time scales of mobility are considered in this paper:
Fast mobility: The
mobility of nodes is at the same time
scale as the transmission of
packets, i.e., in each time-slot, only one
transmission is allowed.
Slow mobility: The
mobility of nodes is much slower than
the transmission of packets, i.e.,
multiple transmissions may
3. happen within one time-slot.
ADVANTAGE
The advantage of dimensional mobility lies in the fact that it is simple and easily predictable, thus
increasing the inter contact rate.
Though nodes are limited to only moving horizontally or vertically, the mobility range on their orbit
lines is not restricted.
Algorithm – Joint/Scheduling algorithm
In this algorithm, there are two types of transmissions:
1. Source-Relay(S-R) transmission and
2. Relay-Destination(R-D) transmission. Thus, when a particularly pair is selected,
there will be two conditions: S-R pair or R-D pair.
1. If node Nsend contains packet P in its relaying pool to be sent to Nreceive, and Nsend is in
the same cell as Nreceive, we call Nsend and Nreceive a R-D pair.
2. If node Nsend does not contain packet P in its relaying pool to be sent to Nreceive, while
node Nreceive does not contain packet P in its relaying pool to be sent to Nsend, and Nsend
is in the same cell as Nreceive, we call Nsend and Nreceive a S-R pair.
4. MODULES
1. SCHEDULING POLICIES
2. HETEROGENEOUS NETWORKS
3. TRANSMISSION INFRASTRUCTURE
MODULES DESCRIPTION
SCHEDULING POLICIES
In this Module, the information about the current and past status of the network, and can schedule any
radio transmission in the current and future time slots, similar. We say a packet is successfully delivered if and
only if all destinations within the multicast session have received the packet. In each time slot, for each packet p
that has not been successfully delivered and each of its unreached destinations, the scheduler needs to perform
the following two functions:
1. Capture
The scheduler needs to decide whether to deliver packet to destination in the current time slot. If yes,
the scheduler then needs to choose one relay node (possibly the source node itself) that has a copy of the
packet at the beginning of the timeslot, and schedules radio transmissions to forward this packet to
destination within the same timeslot, using possibly multi-hop transmissions. When this happens
successfully, we say that the chosen relay node has successfully captured the destination of packet. We call
this chosen relay node the last mobile relay for packet and destination. And we call the distance between the
last mobile relay and the destination as the capture range.
2. Duplication
For a packet p that has not been successfully delivered, the scheduler needs to decide whether to
duplicate packet p to other nodes that does not have the packet at the beginning of the time-slot. The
scheduler also needs to decide which nodes to relay from and relay to, and how.
HETEROGENEOUS NETWORKS
In this Module, All transmissions can be carried out either in ad hoc mode or in infrastructure mode. We
assume that the base stations have a same transmission bandwidth, denoted for each. The bandwidth for each
mobile ad hoc node is denoted. Further, we evenly divide the bandwidth into two parts, one for uplink
transmissions and the other for downlink transmissions, so that these different kinds of transmissions will not
interfere with each other.
5. TRANSMISSION INFRASTRUCTURE
In this Module, A transmission in infrastructure mode is carried out in the following steps:
1) Uplink: A mobile node holding packet is selected, and transmits this packet to the nearest base
station.
2) Infrastructure relay: Once a base station receives a packet from a mobile node, all the other base
stations share this packet immediately, (i.e., the delay is considered to be zero) since all base stations are
connected by wires.
3) Downlink: Each base station searches for all the packets needed in its own sub region, and transmit
all of them to their destined mobile nodes. At this step, every base station will adopt TDMA schemes to
delivered different packets for different multicast sessions.
System Specification
HARDWARE & SOFTWARE REQUIREMENTS:
HARDWARE REQUIREMENTS:
System : Pentium IV 2.4 GHz.
Hard Disk : 40 GB.
Floppy Drive : 1.44 Mb.
Monitor : 15 VGA Color.
Mouse : Logitech.
Ram : 512 MB.
SOFTWARE REQUIREMENTS:
Operating system : Windows 7 Ultimate (32- bit).
Coding Language : C#.NET
Front End : Visual Studio 2010 professional