IEEE Format References & Citations for MS Word

Today I was working on my thesis / QE document and wanted to have IEEE style referencing included in my document (using the built in references features). At first I started trying to modify one of the existing templates (found in /Program Files/Microsoft Office/Office12/Bibliography/Styles) but quickly found this would take too much time. So when I googled, I found some clever people had already done the work for this. See the following two XSL styles that are based on the IEEE referencing format:

Bradley Farnsworth:


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:

IEEE Word 2007 - Example Reference Style

BWCCA 2010 – Adaptive Mixed Bias Resource Allocation for Wireless Mesh Networks

Today I presented a recent paper on “Adaptive Mixed Bias Resource Allocation for Wireless Mesh Networks” at the BWCCA conference in Fukuoka Japan. The paper is authored by myself and Thabo Nkwe from the University of Guelph. The abstract is below:

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)