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- W2263532008 abstract "How to save energy is critical in wireless networks. Most of mobile devices are batteryoperated with energy constraints. Therefore, energy-efficienct protocols are required to extend battery lifetime. In this thesis, we first present Maximum Unavailability Interval (MUI), to improve the energy efficiency for the Power Saving Class (PSC) of Type II in IEEE 802.16e. By applying the Chinese Remainder Theorem, the proposed MUI is guaranteed to find the maximum Unavailability Interval, during which the transceiver can be powered down. We also propose new mathematical techniques to reduce the computational complexity when solving the Chinese Remainder Theorem problem. Because the computational complexity is reduced significantly, the proposed MUI can be practically implemented in real systems. The proposed MUI is fully compatible with the 802.16e standard. It provides a systematic way to determine the start frame number, one of the important parameters defined in the standard. In addition to analyzing the computational complexity, simulations and experiments are conducted to evaluate the performance of the proposed algorithms. To conserve energy in IEEE 802.16e, MUI is guaranteed to find the maximum unavailability interval. Thus, energy consumption can be reduced significantly. In this thesis, wefurther extendMUI for unicast traffic which includes Type I and Type II PSCs. The proposed eMUI still can achieve maximum unavailability interval. The simulation results show that the proposed eMUI reduces energy consumption and average packet response time. In IEEE 802.16j, relays are added into IEEE 802.16 systems. A relay network can be considered as one type of multihop wireless networks. Also, network coding is a promising way to improve network performance. In this thesis, we further consider practical use of network coding and propose an energy-efficient routing algorithm for multihop wireless networks by exploiting coding opportunities. In the presence of energy constraints, the proposed coding-aware algorithm aims to maximize the total amount of data routed successfully over the network. We derive the competitive ratio to compare the proposed on-line algorithm with the optimal off-line algorithm which knows the information of future flow arrivals. Thecompetitive ratio shows that the proposed algorithm can achieve the performance which is bound to a factor of the best case. From a practical perspective, the proposed algorithm is also evaluated and compared with other algorithms by extensive simulations. Results show that the proposed algorithm can increase the amount of data routed successfully and reduce the energy consumption." @default.
- W2263532008 created "2016-06-24" @default.
- W2263532008 creator A5006622245 @default.
- W2263532008 date "2010-01-01" @default.
- W2263532008 modified "2023-09-28" @default.
- W2263532008 title "Energy Efficiency in IEEE 802.16eWireless MANs and MultihopWireless Networks" @default.
- W2263532008 doi "https://doi.org/10.6843/nthu.2010.00439" @default.
- W2263532008 hasPublicationYear "2010" @default.
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