Network Coding – Based On Protection Of Many-To-One Wireless Flows
ABSTRACT:
This paper addresses the problem of survivability of many-to-one flows in
wireless networks, such as wireless mesh networks (WMNs) and wireless sensor
networks (WSNs).
Traditional protection schemes are either resource-hungry like the
(1+1) protection scheme, or introduce a delay and interrupt the network operation like the
(1: N) protection scheme. In this paper, we present a network coding-based protection
technique that overcomes the deficiencies of the traditional schemes. We derive and
prove the necessary and sufficient conditions for our solution on a restricted network
topology. Then we relax these connectivity requirements and show how to generalize the
sufficient and necessary conditions to work with any other topology. We also show how
to perform deterministic coding with {0, 1} coefficients to achieve linear independence.
Moreover, we discuss some of the practical considerations related to our approach.
Specifically, we show how to adapt our solution when the network has a limited min-cut;
we therefore define a more general problem that takes this constraint into account, which prove to be NP-complete. Furthermore, we discuss the decoding process at the sink, and
show how to make use of our solution in the upstream communication (from sink to
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sources).
We also study the effect of the proposed scheme on network performance.
Finally, we consider the implementation of our approach when all network nodes have single transceivers, and we solve the problem through a greedy algorithm that constructs
a feasible schedule for the transmissions from the sources.
Network Coding – Based On Protection Of Many-To-One Wireless Flows
Objective:
The MANY-TO-ONE communication mode is used in a number of networks
including two of the newer types of networks. The Wireless Mesh Networks
(WMNs), which are usually deployed to provide last-mile service to end users. WMNs
are composed of Wireless Mesh Routers that form an infrastructure, which in turn is used
to serve the Wireless Mesh Clients. In a WMN a router is called a gateway if it is
connected to the wired network, where gateways provide Internet access to other routers
through wireless multi hop communication. The traffic in a WMN is either many-to-one
from the wireless mesh clients to the gateway, or one-to-many from the gateway to the
wireless mesh clients. Shows a WMN with a single gateway
Existing System:
As mobile computing requires more computation as well as communication activities, energy efficiency becomes the most critical issue for battery-operated mobile devices. Specifically, in ad hoc networks where each node is responsible for forwarding neighbor nodes’ data packets, care has to be taken not only to reduce the overall energy consumption of all relevant nodes but also to balance individual battery levels. Unbalanced energy usage will result in earlier node failure in overloaded nodes, and in turn may lead to network partitioning and reduced network lifetime.
Proposed System:
In this project paper, a greedy anti-void routing (GAR) protocol is proposed to solve the void problem with increased routing efficiency by exploiting the boundary finding technique for the unit disk graph (UDG).
The proposed rolling-ball UDG boundary traversal (RUT) is employed to completely guarantee the delivery of packets from the source to the destination node under the UDG network.
Network Coding – Based On Protection Of Many-To-One Wireless Flows
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Problem Definition :
• Deficiency of Traditional schemes
• Unbalanced energy usage will result in earlier node failure in overloaded nodes, and in turn may lead to network partitioning and reduced network lifetime.
• Localized routing algorithms which achieves a trade-off between balanced energy consumption and shortest routing delay, and at the same time avoids the blocking and route cache problems.
1. Networking Module:
Client-server computing or networking is a distributed application architecture that partitions tasks or workloads between service providers (servers) and service requesters, called clients. Often clients and servers operate over a computer network on separate hardware. A server machine is a high-performance host that is running one or more server programs which share its resources with clients. A client also shares any of its resources; Clients therefore initiate communication sessions with servers which await (listen to) incoming requests.
2.Data forwarding module:
The bias is embedded in the next hop’s selection logic in the form of an effective distributed algorithm, which also encompasses look ahead. The protocol can be adapted to multitarget search straightforwardly. We will first present how the biasing information is achieved—both for single target and multitarget searches. Then, we present the forwarding protocol, which implements the steps of the greedy routing.
Network Coding – Based On Protection Of Many-To-One Wireless Flows
3. Greedy Anti-Void Routing:
The scheme is adopted to solve the boundary finding problem, and the combination of the GF and the RUT scheme (i.e., the GAR protocol) can resolve the void problem, leading to the guaranteed packet delivery.
.
PROBLEM SCOPE:
In this , a UDG-based GAR protocol is proposed to resolve the void problem incurred by the conventional GF algorithm. The RUT scheme is adopted within the GAR protocol to solve the boundary finding problem, which results in guaranteed delivery of data packets under the UDG networks. The BM and the IMS are also proposed to conquer the computational problem of the rolling mechanism in the RUT scheme, forming the direct mappings between the input/output nodes. The correctness of the RUT scheme and the GAR algorithm is properly proven.
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The HCR and the IN mechanisms are proposed as the delay-reducing schemes for the GAR algorithm, while the PUC mechanism is utilized to generate the required topology for the RUT scheme under the non-UDG Networks. All these enhanced mechanisms associated with the GAR protocol are proposed as the enhanced GAR (GAR-E) algorithm that inherits the merit of guaranteed delivery. The performance of both the GAR and GAR-E
Protocols is evaluated and compared with existing localized routing algorithms via simulations. The simulation study shows that the proposed GAR and GAR-E algorithms can guarantee the delivery of data packets
Under the UDG network, while the GAR-E scheme further improves the routing performance with reduced communication overhead under different network scenarios.
Network Coding – Based On Protection Of Many-To-One Wireless Flows
HARDWARE REQUIREMENTS:
■ System : Intel chipset 2.4 GHz.
■ Hard Disk : 160 GB.
■ Floppy Drive : 1.44 Mb.
■ Monitor : 15 VGA Colour.
■ Mouse : Logitech.
■ RAM : 256 Mb.
SOFTWARE REQUIREMENTS:
■ Operating System : – Windows XP (SP3)
■ Framework : – VS 2008
■ Coding Language : – C#.net
