This document discusses optimal multicast capacity and delay tradeoffs in mobile ad hoc networks (MANETs). It considers four node mobility models and two mobility timescales: fast and slow. For each model under a delay constraint, it characterizes optimal multicast capacity and develops a scheme to achieve near-optimal capacity-delay tradeoffs. It also studies heterogeneous networks with infrastructure support. The proposed system improves network performance in terms of capacity and delay using dimensional mobility, scheduling, and joint transmission algorithms between nodes and base stations.
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JPD1428 Multicast Capacity in MANET with Infrastructure Supportchennaijp
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT On the real time hardware implementa...IEEEGLOBALSOFTTECHNOLOGIES
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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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JPD1428 Multicast Capacity in MANET with Infrastructure Supportchennaijp
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT On the real time hardware implementa...IEEEGLOBALSOFTTECHNOLOGIES
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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.
Minimize energy per packet (or per bit)
Maximize network lifetime
Routing considering available battery energy
Maximum Total Available Battery Capacity
Minimum Battery Cost Routing (MBCR)
Min– Max Battery Cost Routing (MMBCR)
Conditional Max – Min Battery Capacity Routing (CMMBCR)
Minimize variance in power levels
Minimum Total Transmission Power Routing (MTPR)
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Comparison of Various Unicast-Multicast Routing Protocols for Mobile Ad-Hoc N...Editor IJMTER
A Mobile Ad-hoc Network (MANET) is a self configuring network which consists of
mobile nodes with no permanent infrastructure. In a MANETs, there is no difference between a host
node and a router so that all nodes can be source plus forwarders of traffic. The task of finding routes
in Mobile Ad-hoc Network (MANET) is an important factor in determining the efficiency of any
MANET routing protocols. This paper describes about the basic idea of different routing protocols
and its efficient use in MANET. There are several routing protocols based on UNICAST and
MULTICAST. This paper will conclude the main characteristics of these protocols with comparison
and suggest the best suited protocol for particular topology or network.
Clustering based Time Slot Assignment Protocol for Improving Performance in U...journal ijrtem
Recently, numerous approaches have been proposed for designing medium access control (MAC)
in underwater acoustic networks (UANs). Some of those works tried to adapt MAC protocols proposed for
terrestrial networks. However, unique environmental characteristics of UANs make the MAC protocols hard to be
used in the UANs and degrade network performance. In order to improve network performance, COD-TS MAC
protocol was proposed. COD-TS focuses on both single hop and multi-hop mode and utilizes CDMA for
exchanging schedule information between cluster heads. COD-TS has shortcomings such as collisions, additional
energy consumption by exchanging schedule information and near-far effect of CDMA. To overcome above
shortcomings, we propose a clustering-based time slot assignment protocol. In the proposed protocol, nodes are
clustered, and each cluster head performs two-hop neighbor cluster discovery operation. And then, a cluster head
obtains its own relative position information. Finally, the cluster head assigns its own time slot for data
transmission based on the information. Simulation results show that the proposed protocol has always better
performance compared to the COD-TS.
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
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 @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
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
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
Minimize energy per packet (or per bit)
Maximize network lifetime
Routing considering available battery energy
Maximum Total Available Battery Capacity
Minimum Battery Cost Routing (MBCR)
Min– Max Battery Cost Routing (MMBCR)
Conditional Max – Min Battery Capacity Routing (CMMBCR)
Minimize variance in power levels
Minimum Total Transmission Power Routing (MTPR)
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
Comparison of Various Unicast-Multicast Routing Protocols for Mobile Ad-Hoc N...Editor IJMTER
A Mobile Ad-hoc Network (MANET) is a self configuring network which consists of
mobile nodes with no permanent infrastructure. In a MANETs, there is no difference between a host
node and a router so that all nodes can be source plus forwarders of traffic. The task of finding routes
in Mobile Ad-hoc Network (MANET) is an important factor in determining the efficiency of any
MANET routing protocols. This paper describes about the basic idea of different routing protocols
and its efficient use in MANET. There are several routing protocols based on UNICAST and
MULTICAST. This paper will conclude the main characteristics of these protocols with comparison
and suggest the best suited protocol for particular topology or network.
Clustering based Time Slot Assignment Protocol for Improving Performance in U...journal ijrtem
Recently, numerous approaches have been proposed for designing medium access control (MAC)
in underwater acoustic networks (UANs). Some of those works tried to adapt MAC protocols proposed for
terrestrial networks. However, unique environmental characteristics of UANs make the MAC protocols hard to be
used in the UANs and degrade network performance. In order to improve network performance, COD-TS MAC
protocol was proposed. COD-TS focuses on both single hop and multi-hop mode and utilizes CDMA for
exchanging schedule information between cluster heads. COD-TS has shortcomings such as collisions, additional
energy consumption by exchanging schedule information and near-far effect of CDMA. To overcome above
shortcomings, we propose a clustering-based time slot assignment protocol. In the proposed protocol, nodes are
clustered, and each cluster head performs two-hop neighbor cluster discovery operation. And then, a cluster head
obtains its own relative position information. Finally, the cluster head assigns its own time slot for data
transmission based on the information. Simulation results show that the proposed protocol has always better
performance compared to the COD-TS.
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
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 @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
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
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
JPN1404 Optimal Multicast Capacity and Delay Tradeoffs in MANETschennaijp
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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.
Advanced delay reduction algorithm based on GPS with Load Balancingijdpsjournal
A Mobile Ad-Hoc Network (MANET) is a self-configuring network of mobile nodes connected by wireless
links, to form an arbitrary topology. The nodes are free to move arbitrarily in the topology. Thus, the
network's wireless topology may be random and may change quickly. An ad Hoc network is formed by
sensor networks consisting of sensing, data processing, and communication components. There is frequent
occurrence of congested links in such a network as wireless links inherently have significantly lower
capacity than hardwired links and are therefore more prone to congestion. Here we proposed a algorithm
which involves the reduction in the delay with the help of Request_set created on the basis of the location
information of the destination node. Across the paths found in the Route_reply (RREP) packets the load is
equally distributed
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.
Improved routing scheme with ACO in WSN in comparison to DSDVijsrd.com
Routing is the process of selecting best paths in a network in terms of energy and distance. In adhoc it is critical to collect the information in an efficient manner as it has limitations in terms of centralized congestion. In such case to perform the effective communication there is the requirement of some such routing approach that can provide the routing with optimized path. In this work, ACO based routing approach is defined to generate the optimized path in comparison to DSDV over the network. The presented approach is implemented in matlab environment and obtained results shows the effective results in terms of optimized path.
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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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Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
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Optimal multicast capacity and delay tradeoffs in mane ts
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 i.i.d. mobility, (2) two-dimensional hybrid
random walk, (3) one-dimensional i.i.d. mobility, and (4) one-dimensional hybrid
random walk. Two mobility time-scales are investigated in this paper: (i) Fast
mobility where node mobility is at the same time-scale as data transmissions; (ii)
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.
2. EXISTING SYSTEM:
In Existing System, it was established in a static network with n nodes, there has
been tremendous interest in the networking research community to understand the
fundamental achievable capacity in wireless ad hoc networks. How to improve the
network performance, in terms of the capacity and delay, has been a central issue.
Heterogeneous networks with multicast traffic pattern were studied by existing
system. Wired base stations are used and their transmission range can cover the
whole network. One of the work in existing system studied a dense network with
fixed unit area. The helping nodes in their work are wireless, but have higher
power and only act as relays instead of sources or destinations. Other Existing
works all study static networks.
DISADVANTAGES OF EXISTING SYSTEM:
Limiting factors
Low redundancy.
3. 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 happen within one time-slot.
ADVANTAGES OF PROPOSED SYSTEM:
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 USED:
Algorithm – Joint/Scheduling algorithm
4. 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.
5. 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
6. 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.
7. 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 CONFIGURATION:-
HARDWARE REQUIREMENTS:-
Processor - Pentium –IV
Speed - 1.1 Ghz
RAM - 512 MB(min)
8. Hard Disk - 40 GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - LCD/LED
SOFTWARE REQUIREMENTS:
• Operating system : Windows XP.
• Coding Language : C#.Net.
• Tool : VISUAL STUDIO 2008.
REFERENCE:
Jinbei Zhang, Xinbing Wang, Senior Member, IEEE, Xiaohua Tian, Member,
IEEE Yun Wang, Xiaoyu Chu, and Yu Cheng, “Optimal Multicast Capacity and
Delay Tradeoffs in MANETs”, IEEE TRANSACTIONS ON MOBILE
COMPUTING. 2013.