Then in GUI select Modem->Connect
Then select “Bell Mobility” when prompted.

Bradley Farnsworth: http://bfarns.blogspot.com/2008/02/ieee-bibliography-xsl-style-sheet-for.html

Bibword: http://bibword.codeplex.com/releases/view/15365

I found the second version to be what I was looking for, since the first version did something weird with the city and publisher that I wasn’t fond of. Note: if you use the second link, make sure you enter the names in the correct format or else you will also end up with weirdness…the format is: lastname1, firstname1; lastname2, firstname2; …

Note2: This was tested with MS Word 2007. I’m not sure if it works with the latest, so if you find out, post a comment!

Here is an example of what the result looks like:

Abstract:
In wireless networks, conditions may change rapidly and unpredictably. Often wireless networks are not designed to adapt to these changing conditions and perform poorly when they become congested. The multi-hop broadcast nature of wireless mesh networks amplifies the problem of poor wireless performance. Mixed bias scheduling has previously been applied successfully to wireless mesh networks however, it still suffers from similar problems when conditions change rapidly. In this work we propose an adaptive mixed bias (AMB) algorithm which uses a tabu search approach to change based on delay and dropped packets in the network. The proposed scheduling approach consists of three important algorithms, namely, the tabu search algorithm, move generation, and utility function. The adaptive mixed bias approach is compared against IEEE 802.11 and the non-adaptive mixed bias approach. The performance is evaluated using the packet delivery ratio and average end-to-end delay metrics.

Here are the slides from the talk: BWCCA-NGWMN2010-final (pdf)
and here is the link to the pdf from the conference: Adaptive Mixed Bias Resource Allocation for Wireless Mesh Networks (pfd)

*note* I’ve also tried to the hexxeh version of chromium, but for some reason it won’t boot on my laptop, and I also prefer to be able to compile from source rather than using a pre-built image.

While I don’t have a video for you to watch the entire presentation, I do have some pictures, and I’ll post the paper and slides I presented in case any one is interested. If you have any questions feel free to post on here or email me directly and I’ll be happy to answer any of them.

J.B. Ernst and M.K. Denko, “Cross-Layer Mixed Bias Scheduling for Wireless Mesh Networks,” in Proc. IEEE International Conference on Communications (ICC), Cape Town, South Africa, 2010.

Abstract—In this paper we propose a mixed bias approach which makes use of cross layer optimization. The cross-layer parameters are based on conditions in the network from multiple layers and are used to determine resource and time allocation for nodes in the network. Unlike existing proposals, we propose to bias against several parameters such as link quality and queue size in addition to node distance. We also propose a combined mixed bias approach which takes into account multiple parameters together. The scheme is evaluated using simulation experiments. The performance results are reported in this paper.

Download the paper (pdf)
Download the presentation slides (pdf)

The biggest lesson I’ve learned this semester is that the profs in undergrad were always right. Math is very important in CS. While it may not have been apparent at the time, (I always questioned the relevance of much of it since it was all presented very abstractly and disconnected from anything I was doing in undergrad) I now find some of my math skills to be my greatest weakness as a CS researcher. This is why this past semester I have gone out of my “comfort zone” and tried a couple of courses which I would generally shy away from. First is discrete optimization (Classifications of Optimization Problems, VRP, TSP, Bin-Packing, Cutting Stock, Simplex Method, PSO, Tabu Search, Branch & Cut etc). Second is a system performance and evaluation course (Queuing Theory, Markov models, Operational Analysis, etc). In each case, I have been pushed to the limits of what I know (and what I remember from my undergrad days). On the other hand, it has been easy to identify my weakest areas in my knowledge so that I can hopefully improve in them significantly before my quals in a couple of semesters. As an added benefit, perhaps because of the perspective I have gained as a grad student, I have started to realize the larger picture and see how many of the mathematical ideas can be applied to improve the state of the art in a particular problem area.

Lastly, I have been working at formulating my research and solidifying what it is I am working towards with this PhD. The very general description is “heterogeneous wireless networks”. Within this area, I am interested in particular type of heterogeneous wireless network. It is made up of a wireless mesh network as the backbone. Instead of traditional client nodes such as laptops, pdas etc, the clients are actually other types of wireless networks, for example: 802.11 WLAN, RFID, 3g Mobile etc. There are many problems when this type of network is considered. One is the gateway placement problem (where to place gateways between the types of networks, how many etc.). Also in each sub-network, there may be a particular set of parameters which cause the sub-network to perform very well. However when the sub-networks are joined, this set of parameters may not be optimal for the entire network as a whole. The problem then is how to optimize these sets of parameters with respect to the entire network.