Article ID: | iaor20116087 |
Volume: | 12 |
Issue: | 2 |
Start Page Number: | 55 |
End Page Number: | 66 |
Publication Date: | Jun 2011 |
Journal: | Information Technology and Management |
Authors: | Jin Beihong, Qian Yifeng, Fang Wenjing |
Keywords: | heuristics, programming: multiple criteria, allocation: resources |
In the pervasive e‐business applications covering large geographical areas and involving many RFID readers or sensors, broker deployment strategies have a direct effect on the deployment cost and collaboration efficiency. By analyzing the deployment cost and collaboration basis, this paper proposes a model for the broker deployment problem, and presents two heuristic algorithms for the multi‐object optimization of broker deployment, where one is for the deployment area which contains the zones forbidden to place brokers in, and the other is for the deployment area without any forbidden zone. Experiments are conducted to demonstrate the effectiveness of the proposed algorithms. The experimental results also show the deployment algorithms have the advantage of being low cost of deployment. Moreover, the brokers deployed carry relatively balanced loads and messages are forwarded from an event source to a broker over a small number of hops.