Jad El-Najjar
ABSTRACT
WiMAX/802.16 mesh network has become an attractive infrastructure by its ability to provide high capacity broadband access to the backhaul network over seamless distances, with minimum cost deployment. This past year, a noticeable improvement of this technology came to life through the IEEE 802.16e amendment where mobility components where added for mesh nodes. Hence such nodes need to be powered by batteries.
As a result, both node's energy consumption and Radio Frequency RF-link availability (time of operation of the RF-link until one of its end mobile nodes becomes outside the coverage area of the other) have become crucial issues to be considered when performing routing and scheduling decisions. Moreover interference always remains a factor to be dealt with, in such networks, since not only it affects the quality of the signal and network throughput but it also leads to higher non-desired energy consumption when received by neighboring nodes.
In this paper, we study the problem of Minimizing Energy Consumption (MEC) through a MEC mathematical model in a mobile-interference aware WiMAX/802.16 mesh centralized scheduling network. The MEC model is based on a hierarchical multi-objective that (i) selects the highest available RF-links when performing routing and scheduling decisions and (ii) minimizes energy consumption on all nodes part of the network.
Results show that, in a mobile environment, higher network availability (time of operation until a RF-link fails to deliver data due to its mobile end-nodes becoming outside the range of each other) is present but with more energy consumption at nodes when prioritizing the selection of the highest available RF-links over minimizing the nodes energy consumption. On the other hand, less energy is consumed, however the network availability is drastically reduced when prioritizing the minimization of energy consumed by the nodes over the selection of the most stable (available) RF-links.
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Index Terms
- Minimizing energy consumption vs maximizing network stability in mobile WiMAX
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