Multicasting in DTN Networks

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Delay Tolerant Networks(DTN) are a class of emerging networks which experience intermittent connectivity and lack end-to-end paths due to absence of well-defined infrastructure. In this paper we explore the nuances of multicasting in DTNs. Multicasting enables efficient distribution of messages to a group of users, a paradigm that can be applicable in the context of DTNs. While multicasting in internet and ad-hoc networks has been studied extensively, realizing the same in DTNs is nontrivial given that many factors have to be considered. This paper, presents an implementation of multicast routing for various protocols in DTNs using ONE simulator. It also provides the analysis and performance results for the various protocols studies against the different movement models.

Engineering

Introduction Multicasting Approach & Implementation Results
Implementation & Analysis of Multicasting in
DTN Networks using the ONE Simulator
Guide: Prof. Mostafa Ammar
December 6, 2016
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Delay Tolerant Networks
A class of emerging networks that experience frequent and
long-duration partitions.
Intermittent connectivity
Lack of end-to-end paths
Absence of well-deﬁned infrastructure
Mobile nodes
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
DTN Examples
(a) Army (b) Deep-space communication
(c) Emergency Response (d) Vehicular communication
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Motivation
Eﬀective Communication in DTNs
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Motivation
Eﬀective Communication in DTNs
Some scenarios in DTNs might require group based
communication
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Group based communication
Unicast routing: Eﬃcient?
No
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Group based communication
Unicast routing: Eﬃcient?
No
Multicast routing is the obvious choice
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Approaches in Contention
Oracle based implementation requires look-up for every
message at every node
Message containing a list of destinations in place of a single
”to” ﬁeld
Group based logical identiﬁer
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Routing Protocols for DTNs
Store and forward
Nodes relay messages, due to lack of network infrastructure.
Data incrementally moved to the destination
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Routing Protocols for DTNs
Epidemic: ﬂooding-based in nature.
Spray & Wait: controlled ﬂooding.
First Contact: sends message to the ﬁrst node it contacts.
Direct Delivery: message transmitted only when source node
comes in direct contact with the destination node.
PRoPHET: probability based.
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Implementation in ONE Simulator
Opportunistic Network Emulator (ONE):
Emulates Delay Tolerant Networks
Customizable network scenarios with various mobility models
Currently, only unicast routing is implemented
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
ONE Overview
Figure: ONE Simulator Overview
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
ONE - Routing Map
Figure: Routing Map
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Simulation Parameters
Protocol
Movement model
Number of nodes
Number of groups
TTL
Warmup Time
Buﬀer Size
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Simulations Results
(a) Eﬀect on messages delivered (b) Eﬀect on Avg. Latencies
(c) Avg. Hop Count in RWP (d) Avg. Hop Count in MBM
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Simulations Results
(e) Eﬀect of varying TTL (f) Eﬀect of varying warmup values
Probablity Based Protocol
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Conclusions
Total number of nodes inﬂuences % of messages delivered,
average latencies and hop count directly
The mobility model of the nodes impacts the statistics greatly.
Decrease in TTL value can negatively impact the % of
messages delivered
For probability based protocols, warmup period aﬀects the
average latency of messages delivered
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Future Work
A node being the member of more than one multicast groups
at a time
A node dynamically changing group membership within a
single simulation
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Thank You
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

Introduction Multicasting Approach & Implementation Results
Team
1. Harsh Maniar
2. Neha Raje
3. Nagendra Posani
4. Swarnim Vyas
5. Ramcharan
Guide: Prof. Mostafa Ammar
Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

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THE EFFECTS OF PAUSE TIME ON THE PERFORMANCE OF DSR PROTOCOL IN MOBILE ADHOC ...

SyafiqahMohamad84

I. The document discusses how pause time affects the performance of the Dynamic Source Routing (DSR) protocol in mobile ad hoc networks. II. It aims to study and simulate the DSR protocol using OMNeT++, analyzing the impact of pause time on end-to-end delay and packet delivery ratio. III. The expected results are graphs showing how pause time influences the DSR protocol's performance metrics of end-to-end delay and packet delivery.

Bandwidth guaranteed

IJCNCJournal

Computer network is becoming more popular and common, the need to use the broadband connection services (e-learning - online training, video conferencing - online conference, IPTV - digital TV ...) of organizations and individuals is increasing. Multicast is an effective mechanism for the transmission of information and data to many recipients simultaneously. Multicast is a routing problem from a source node to a receiver node set, also known as the routing from one point to multipoint. The advances in technology and multimedia applications emerge quickly has provided great motivation for the application of new real-time multi-point. Many multi-point applications will not function properly if the QoS (quality of service) can not be guaranteed. Therefore, multi-point algorithms must be able to meet the QoS constraints (cost, reliability, bandwidth, jitter, delay...). The objective of multicast routing algorithms guarantee QoS is to provide routing algorithms have the ability to recognize the tree to satisfy the maximum of traffic streams with QoS requirements. Most multicast algorithms on MPLS (MultiProtocol Label Switching) considered the unique QoS constraint as bandwidth. The other QoS constraints can be converted into bandwidth efficiency. Starting from this reality, this paper research multicast routing algorithms guarantee bandwidth and propose new algorithm compares with existing ones.

Gokul

nandhaagg

This paper proposes a localized scheme to support multicasting in wireless ad hoc networks without congesting unicast flows. The proposed approach combines layered multicast and routing-based congestion control to ensure fairness of bandwidth sharing between multicast and unicast flows in a fully localized manner. Simulation results show the proposed localized scheme is effective at allowing multicasting while preventing unicast flows from being throttled due to congestion.

Ch5

Waqas !!!!

The document discusses different types of multiplexing techniques used to share transmission mediums. It describes frequency division multiplexing which assigns different non-overlapping frequency ranges to signals transmitted simultaneously. It also describes synchronous and statistical time division multiplexing which divide transmission time among users in a continuous or variable manner. Finally, it briefly mentions wavelength division multiplexing which assigns different wavelengths to signals on fiber optics and code division multiplexing used in mobile communications.

Particle Swarm Optimization–Long Short-Term Memory based Channel Estimation w...

IJCNCJournal

Non-Orthogonal Multiple Access (NOMA) helps to overcome various difficulties in future technology wireless communications. NOMA, when utilized with millimeter wave multiple-input multiple-output (MIMO) systems, channel estimation becomes extremely difficult. For reaping the benefits of the NOMA and mm-Wave combination, effective channel estimation is required. In this paper, we propose an enhanced particle swarm optimization based long short-term memory estimator network (PSOLSTMEstNet), which is a neural network model that can be employed to forecast the bandwidth required in the mm-Wave MIMO network. The prime advantage of the LSTM is that it has the capability of dynamically adapting to the functioning pattern of fluctuating channel state. The LSTM stage with adaptive coding and modulation enhances the BER.PSO algorithm is employed to optimize input weights of LSTM network. The modified algorithm splits the power by channel condition of every single user. Participants will be first sorted into distinct groups depending upon respective channel conditions, using a hybrid beamforming approach. The network characteristics are fine-estimated using PSO-LSTMEstNet after a rough approximation of channels parameters derived from the received data.

PARTICLE SWARM OPTIMIZATION–LONG SHORTTERM MEMORY BASED CHANNEL ESTIMATION WI...

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The document summarizes a research paper that proposes a Particle Swarm Optimization–Long Short-Term Memory based channel estimation method (PSO-LSTMEstNet) for wireless sensor networks and Internet of Things applications. The key points are: 1. PSO-LSTMEstNet uses a PSO algorithm to optimize the input weights of an LSTM network for channel estimation. This allows the model to dynamically adapt to changing channel conditions. 2. A hybrid beamforming approach is used to group users based on their channel conditions. PSO then estimates the network characteristics after an initial channel parameter approximation from received data. 3. An evaluation shows PSO-LSTMEstNet enhances bit error rate performance over

Multiplexing

stooty s

The document discusses different techniques for multiplexing, which is the sharing of a transmission medium by multiple signals. It describes frequency division multiplexing (FDM), time division multiplexing (TDM) including synchronous and statistical TDM, wavelength division multiplexing (WDM), and code division multiplexing (CDM). TDM techniques like T-1 and ISDN use synchronous multiplexing to transmit multiple digital signals over a single circuit simultaneously.

C241721

irjes

International Refereed Journal of Engineering and Science (IRJES) is a leading international journal for publication of new ideas, the state of the art research results and fundamental advances in all aspects of Engineering and Science. IRJES is a open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications

Ijetae 0913 79

Usman Ali

This document describes the simulation of an OFDM system using MATLAB. It discusses how OFDM works and its advantages for wireless communications. The simulator allows analyzing the performance of BPSK, QPSK, and QAM modulation under Rayleigh fading and multipath channels. It measures bit error rate as a function of signal to noise ratio. The GUI interface facilitates changing parameters and visualizing the transmitted and received OFDM frames, spectra, and constellations. Simulation results demonstrate the variation in performance between modulation techniques in different channel conditions.

AnupVMathur

anupmath

Anup Mathur has experience as an engineering intern at Spirent Communications where he worked on enhancing channel modeling and developing test cases for channel emulators. He has also conducted research projects on SDN controllers for wireless networks, relay attacks on NFC, content-based routing, and power management in wireless sensors. Mathur is skilled in programming languages like C, C++, C#, Matlab, and Python and has an MS in Electrical and Computer Engineering from Rutgers University.

Ballpark Figure Algorithms for Data Broadcast in Wireless Networks

Editor IJCATR

In wireless system allocation is a necessary purpose and show industry expensive dependability in message protocol design. In multihop wireless networks, equally, imposition by a node by reason of immediate transmissions as its neighbors makes it nontrivial to graph a minimum-latency transmit algorithm, which is known to be NP-complete. A simple ballpark figure algorithm for the one-to-all transmit problem that improves all previously documented guarantees for this problem. In All-to-all transmit problem where every node sends its own consequence to all complementary nodes. In the all-to-all transmit problem, we current two algorithms with ballpark figure ratios of 20 and 34, civilizing the greatest result. A communication wants to be transmitted establishment its resource to all the previous nodes in the network. There may be different messages to be broadcasted from several sources. Two or more nodes broadcast a communication to an ordinary neighbor at the same time; the frequent node will not collect any of this communication. We say that collide has occurred at the ordinary node. So any message protocol for wireless networks must dispute with the distress of difficulty in the wireless intermediate.

Anomaly detection final

Akshay Bansal

This project aims to analyze and emulate anomaly detection techniques for low-rate TCP denial of service attacks using the DETERLab testbed. The researchers plan to design an extensive anomaly checkpoint detection methodology. They propose a modified likelihood ratio algorithm to detect changes in network traffic statistics. The algorithm will be tested on legitimate and attack traffic in DETERLab while analyzing detection statistics and congestion windows. Results will help evaluate the ability to rapidly detect attacks while limiting false alarms.

Performance Analysis and Simulation of OLSR Routing Protocol in MANET

ijcnac

Mobile ad hoc network is a collection of wireless nodes that are communicate other nodes (router) without using access point, infrastructure . Mobile ad-hoc network is an autonomous system that means no need for depaentd other nodes it have own capability to handle and controlling all funcitionlity, to sending and receiving all information form one device to other device. MANET has power full feature that controlling itself by dynamic nature, multihop,low power and configuration of the system. In this paper we analyzing, simulation and implements the TC messages and HELLO Message by MPR of OLSR routing performance checked at 200 nodes on Qualnet 5.0.2 simulator. In Qualnet simulator to simulate and implement the performance of OLSR routing protocols takes various performance metrics like hello message sent (HMS) , hello message received (HMR), TC message generated (TCMG), TC message replied (TCMR), TC messages received on Constant Bit Rate (CBR) using random waypoint model. In this paper check the performance OLSR routing protocol gives effective performance for lage networks.

Comparative Analysis and Secure ALM P2P Overlay Multicasting of Various Multi...

IJERD Editor

Multicasting is the delivery of a message or information to a group of destination computers simultaneously in a single transmission from the source. The copies of the messages are automatically created in other network elements like routers but only when the topology of the network requires it. Multicast is implemented most commonly in IP multicast which is further could be employed in internet protocol applications of streaming media. In the IP multicast the implementation of the multicast concept occurs at the IP routing level where routers create optimal distribution paths for datagram sent to a multicast destination address. At the Data Link Layer, multicast describes one-to-many distribution such as Ethernet multicast addressing, Asynchronous Transfer Mode (ATM) point-to-multipoint virtual circuits (P2MP) multicast. In this paper we have compared various multicasting mechanisms. The comparison is done on the basis of various factors like complexity, overhead, maintenance, etc. The mechanisms that are part of the paper are a secure ALM P2P multicasting technique for large scale networks using face recognition, IP multicasting techniques and the overlay multicasting techniques. The comparison of these multicasting techniques will help us to design and Implement a Secure Application-Level Multicasting (SALM) P2P Overlay Multicasting for large Scale Network. The main objective of the paper is to discuss all the three above mentioned multicasting phenomenon’s and compare them on the basis of certain criterion so as carved out the best of all which can be further used for designing a secure multicasting technique which can take the best features of all combined together so as to get effective and efficient technique for multicasting the throughput of the network by effective and efficient delivery of the information to all the members of the group. The certain findings can be carved out of the comparison can help us to create a multicasting technique with less incurring of delays so that information can be delivered in limited time span and multicast path length so that efficient paths should be used so as to enhance performance in multicasting. Moreover in this paper we will study & investigate other issues that degrades the performance of Multicasting Techniques for large Scale Network and later we will come to know through the comparison that which technique performs well in these harsh environment and give effective results.

Impact of mobility models on supp tran optimized dtn spray and wait routing p...

ijmnct

The delay-tolerant networks (DTN) are networks that support communication between nodes when connectivity is intermittent, due to the difficulties encountered in this type of environment, such as node mobility frequently changing network topology, this which does not allow to route messages directly between the source and destination, the routing algorithms must consider mobility to increase the rate of message delivery. In our previous work of Supp-Tran we examine that spray and wait router was not showing good delivery probability in case of SPMBM mobility model and FIFO forwarding strategy compared to our Supp-Tran strategy. This paper compares the behavior of the FIFO strategy used by default with spray and wait routing protocol and that of our Supp-Tran strategy under different type of mobility, to do that the most mobility models used are chosen to show how mobility model affects the forwarding strategy using as performance metric such as delivery probability, the number of dropped messages , buffer time average, the overhead ratio and average number of hops.

Cy31439446

IJMER

This document discusses the challenges faced when using TCP in mobile ad hoc networks (MANETs). Some key challenges include: media access control issues like hidden terminals; power constraints of mobile nodes; frequent topology changes due to node mobility; multipath fading increasing the likelihood of path breaks; and misinterpreting packet losses as congestion rather than broken routes. TCP was designed for wired networks and assumes packet losses are always due to congestion, which does not hold in MANETs where losses can be from broken routes. Overall, TCP performs poorly in MANETs due to these challenges.

Experimental simulation and real world study on wi fi ad-hoc mode for differe...

Nazmul Hossain Rakib

The Ad-Hoc mode for wireless communication is not used frequently. But the demand for Wi-Fi communication is continuously increasing as use of Smart-phones and Laptops has enormously popular recent years. Through Ad-Hoc mode users can communicate point to point with mobility feature without using any central BSS. Wireless Ad-Hoc mode uses electromagnetic wave and so this technology has losses and limitations caused by free space propagation media as well as attenuation for interferences.

Mat 540 Quiz 3

Ashley Fisher

The document discusses causes of gossiping in flooding techniques for wireless sensor networks. Gossiping is proposed to solve problems with flooding, which uses a simple forwarding method without costly topology maintenance. Each sensor node randomly selects a neighbor to transmit an incoming data packet to, and this process continues until the packet reaches its destination. While gossiping avoids the implosion problem by limiting packets sent to one neighbor, random selection is unsafe as it provides no guarantee that data will reach the destination. This can lead to unnecessary transmissions and longer latency than optimal routing protocols.

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原版一模一样【微信：741003700 】【(osu毕业证书)美国俄勒冈州立大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原。 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 【主营项目】一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！二.真实使馆公证(即留学回国人员证明,不成功不收费) 三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度) 如果您处于以下几种情况： ◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】 ◇面对父母的压力，希望尽快拿到； ◇不清楚认证流程以及材料该如何准备； ◇回国时间很长，忘记办理； ◇回国马上就要找工作，办给用人单位看； ◇企事业单位必须要求办理的 ◇需要报考公务员、购买免税车、落转户口 ◇申请留学生创业基金留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：校徽：象征着学校的荣誉和传承。校名:学校英文全称授予学位：本部分将注明获得的具体学位名称。毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。综上所述，办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

Applications of artificial Intelligence in Mechanical Engineering.pdf

Atif Razi

Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI. AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.

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一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理

Applications of artificial Intelligence in Mechanical Engineering.pdf

Multicasting in DTN Networks

1. Introduction Multicasting Approach & Implementation Results Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator Guide: Prof. Mostafa Ammar December 6, 2016 Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

2. Introduction Multicasting Approach & Implementation Results Delay Tolerant Networks A class of emerging networks that experience frequent and long-duration partitions. Intermittent connectivity Lack of end-to-end paths Absence of well-deﬁned infrastructure Mobile nodes Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

3. Introduction Multicasting Approach & Implementation Results DTN Examples (a) Army (b) Deep-space communication (c) Emergency Response (d) Vehicular communication Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

4. Introduction Multicasting Approach & Implementation Results Motivation Eﬀective Communication in DTNs Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

5. Introduction Multicasting Approach & Implementation Results Motivation Eﬀective Communication in DTNs Some scenarios in DTNs might require group based communication Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

6. Introduction Multicasting Approach & Implementation Results Motivation Eﬀective Communication in DTNs Some scenarios in DTNs might require group based communication In such scenarios, unicast implementation can greatly overwhelm the network Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

7. Introduction Multicasting Approach & Implementation Results Group based communication Unicast routing: Eﬃcient? No Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

8. Introduction Multicasting Approach & Implementation Results Group based communication Unicast routing: Eﬃcient? No Multicast routing is the obvious choice Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

9. Introduction Multicasting Approach & Implementation Results Approaches in Contention Oracle based implementation requires look-up for every message at every node Message containing a list of destinations in place of a single ”to” ﬁeld Group based logical identiﬁer Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

10. Introduction Multicasting Approach & Implementation Results Routing Protocols for DTNs Store and forward Nodes relay messages, due to lack of network infrastructure. Data incrementally moved to the destination Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

11. Introduction Multicasting Approach & Implementation Results Routing Protocols for DTNs Epidemic: flooding-based in nature. Spray & Wait: controlled flooding. First Contact: sends message to the first node it contacts. Direct Delivery: message transmitted only when source node comes in direct contact with the destination node. PRoPHET: probability based. Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

12. Introduction Multicasting Approach & Implementation Results Implementation in ONE Simulator Opportunistic Network Emulator (ONE): Emulates Delay Tolerant Networks Customizable network scenarios with various mobility models Currently, only unicast routing is implemented Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

13. Introduction Multicasting Approach & Implementation Results Implementation in ONE Simulator Opportunistic Network Emulator (ONE): Emulates Delay Tolerant Networks Customizable network scenarios with various mobility models Currently, only unicast routing is implemented We have implemented multicast routing for DTN protocols Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

14. Introduction Multicasting Approach & Implementation Results ONE Overview Figure: ONE Simulator Overview Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

15. Introduction Multicasting Approach & Implementation Results ONE - Routing Map Figure: Routing Map Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

16. Introduction Multicasting Approach & Implementation Results Simulation Parameters Protocol Movement model Number of nodes Number of groups TTL Warmup Time Buﬀer Size Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

17. Introduction Multicasting Approach & Implementation Results Simulations Results (a) Eﬀect on messages delivered (b) Eﬀect on Avg. Latencies (c) Avg. Hop Count in RWP (d) Avg. Hop Count in MBM Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

18. Introduction Multicasting Approach & Implementation Results Simulations Results (e) Eﬀect of varying TTL (f) Eﬀect of varying warmup values Probablity Based Protocol Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

19. Introduction Multicasting Approach & Implementation Results Conclusions Total number of nodes inﬂuences % of messages delivered, average latencies and hop count directly The mobility model of the nodes impacts the statistics greatly. Decrease in TTL value can negatively impact the % of messages delivered For probability based protocols, warmup period aﬀects the average latency of messages delivered Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

20. Introduction Multicasting Approach & Implementation Results Future Work A node being the member of more than one multicast groups at a time A node dynamically changing group membership within a single simulation Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

21. Introduction Multicasting Approach & Implementation Results Thank You Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

22. Introduction Multicasting Approach & Implementation Results Team 1. Harsh Maniar 2. Neha Raje 3. Nagendra Posani 4. Swarnim Vyas 5. Ramcharan Guide: Prof. Mostafa Ammar Implementation & Analysis of Multicasting in DTN Networks using the ONE Simulator

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