Network Coding Master Thesis - …
Next, we perform extensive simulation study to evaluate the ad-vantage of network coding over the traditional approaches.
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EECS Professors Dina Katabi and Muriel Medard have teamed to establish a new field (network coding). Read about how Medard's initial paper written ten years ago established network coding and a following paper by Medard and Katabi presented in 2006 built the means for implementation. Both papers have been cited by the IEEE in 2009 - the first for its seminal contributions to the field that’s come to be known as “network coding,” and the second for presenting the first implementation of the new field. by Larry Hardesty titled "Rethinking networking. MIT researchers helped develop a theory that promised much more efficient data networks; then they were the first to put it into practice," reprinted below in its entirety. This is the second article in a two-part series on MIT contributions to the fledgling field of network coding ().
Wireless sensor networks (WSNs) are rapidly being adopted in a wide range of applications and soon will have a major environmental, financial and societal impact. Some of the main technical challenges in designing and deploying WSNs are meeting their communications reliability and energy consumption requirements. In order to address these two challenges, the thesis proposes new coding schemes and communication protocols, a novel paradigm for information acquisition, and the design and implementation of specific circuits architectures.
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In experiments, the coding scheme significantly increased the amount of data that the network could carry without requiring any more bandwidth. Although the precise figure varied according to the number of wireless devices accessing the network, which of them were sending information to which others, and the amount of interference they encountered, “in general,” Katabi says, “you can see, let’s say, threefold improvements.”
The researchers blanketed two floors of the MIT Computer Science and Artificial Intelligence Lab with wireless routers programmed to execute their network coding scheme. They then used wireless devices to exchange test data over the network. Like all information sent over modern networks, the test data were broken up into smaller “packets” of information for transmission. And as is typical with most wireless networks, electromagnetic interference, physical obstacles, and sheer distance from the wireless devices meant that no one router received all the packets.
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In particular, it is shown that in networks with both random packet erasures and errors, increasing the relative occurrence of erasures compared to errors favors network coding over forwarding at network nodes, and vice versa.
Indeed, Katabi has found a way to make networks even more efficient by exploiting the physical characteristics of actual wireless channels. In the network described in the award-winning paper, wireless routers received electromagnetic signals, translated them into bits, mixed the bits together, and then translated the bits back into electromagnetic signals. But signals sent from different transmitters naturally blend together physically. That blending is usually a nuisance: the signals have to be separated before data can be extracted from them. But Katabi built another experimental wireless network in which routers don’t disentangle blended signals; they just amplify and forward them. It turns out that the network coding techniques that work at the level of the bit can be extended to reconstruct the original signals, without lots of intermediate translations.
In this thesis, we consider secret sharing schemes and network coding
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Our results show that while network coding shows upto 2.43% improvement onunconstrained rectilinear grids, it shows upto 4.34% improvement in cases with con-straints along the grid.
Physical Layer Network Coding Thesis Paper
It was a good test to attempt. But Messrs Foote and Goetz have inspected the authors' computer code and found the controls missing. In other words, Messrs Donohue and Levitt did not run the test they thought they had—an “inadvertent but serious computer programming error”, according to Messrs Foote and Goetz
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The reliability and energy efficiency trade-offs of splitting the inserted redundancy in multiple layers of the network stack are investigated through analysis and over-the-air experiments. The energy benefits of each approach are quantified by designing a low-power custom transmitter using a 65nm TSMC process, integrating the first hardware implementation of a multi-rate forward error correction (FEC) and random linear network coding (RLNC) accelerator. In addition, a physical layer (PHY) independent partial packet reception scheme is proposed for asymmetric networks, i.e. WSNs with star topology, called packetized rateless algebraic consistency (PRAC). Experiments with off-the-shelf transceivers validate our analysis results on the data reliability and energy consumption benefits of the proposed scheme.
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Finally, we evaluate the potential benefits from network coding in practicalsettings by analyzing its performance on the International Symposium on PhysicalDesign (ISPD) benchmarks.
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Last year, the paper in which the researchers presented their findings received an award from the Institute of Electrical and Electronics Engineers (IEEE), which recognized its seminal contributions to the field that’s come to be known as “network coding.” But the same year, the IEEE honored another network-coding paper, in which MIT researchers played the leading role: the paper that, in 2006, presented the first practical implementation of network coding. [This paper, titled "XORs in The Air: Practical Wireless Network Coding" is ].
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