基於可移動式無線通訊網路的特性，發展低成本、低功率及高品質的傳輸技術已成為重要的議題。這本論文提出了一些新穎的方法論及演算法，能有效的降低能源耗損以延長可移動式無線網路之生命週期。

　　首先，我們提出了一個分散式動態註冊區域管理機制，稱之為行動導向區域註冊 (Mobility Oriented Regional Registration, MORR)。此機制可依據個別的移動者行為模式以制訂其最佳之註冊區域。此外，我們發展了移動行為分析模組用以分析移動行為特性。模擬結果顯示我們的機制比現有的動態區域管理機制能有效節省3到15個百分比的訊號成本。
　
　　其次，我們制訂隨意網路 (Ad Hoc Network) 的能源耗損模組並發展能源控制機制(Adaptive Power Control Mechanism, APCM)。此機制能依據個別無線節點推測出其最佳的傳輸能源階層，以降低隨意網路的能源耗損。分析結果顯示，此方法能有效節省百分之32的能源耗損，降低百分之6的封包遺失率，以及提升百分之22的能源使用率。

　　再者，我們研究探索環境式的感測網路 (Probing Environment Sensor Network) 機制，並制訂數學模組以分析其特性。此外，我們發展了一個探索範圍調整機制 (Probing Radius Adjusting Mechanism, PRAM)。此機制能降低探索環境式的感測網路之能源耗損並符合被要求之感測率。

　　最後，我們亦針對感測網路提出了能源比例繞送演算法 (Energy-Proportional Routing Algorithm, EPR)。此演算法可適用於任何網路拓樸架構並能有效的提升感測網路生命週期，在叢聚式網路架構尤為明顯。我們透過實驗分析及數學證明，此演算法能有效滿足三項特性：降低能源耗損、提升網路節點存活率，以及提升資料傳輸量。

　　On the basis of the inherently characteristics of mobile wireless networks, to develop the low-cost, low-power and high-quality communication technologies are important issues. This dissertation proposes some novel methodologies and algorithms in order to achieve objectives of reducing power consumption and life time extension in mobile wireless networks.

　　First, we propose a novel distributed dynamic regional location management scheme, called MORR (Mobility Oriented Regional Registration), to improve the signaling traffic cost of a mobile node. This improvement is achieved by adjusting each mobile node’s optimal regional domains according to its mobility behavior. We also develop new analytical models to formulate the movement behavior and mathematically evaluate their characteristics. Simulation results show that anywhere from 3 to 15 percent of the signaling cost can be saved by our scheme in comparison with the previous distributed dynamic location management schemes.

　　Second, we formulate the energy consumption in Ad hoc network and propose a novel power control mechanism, Adaptive Power Control Mechanism (APCM), to evaluate the optimal transmission power level in each wireless node in order to minimize the total energy consumption in Ad hoc network. The analyses show that up to 32 percent energy can be conserved, packet loss rate is reduced by 6 percent and the utilization of energy is enhanced to 22 percent.

　　Third, we explore the operations of probing environment sensor networks and force to define some mathematical models to describe the operations. By these models, a probing radius adjusting mechanism “PRAM” has been provided to control the trade-off between energy efficiency, network scalability and sensing rate. PRAM can estimate the desirable probing range to minimize the energy consumption based on the premise that the required sensing rate and scalability of WSNs can be satisfied. Simulation results show PRAM can adjust exactly the value of probing range to satisfy the required sensing rate and extend substantially the life time of sensor networks.

　　Finally, this dissertation proposes an energy-proportional routing (EPR) algorithm, which effectively extends the lifetimes of sensor networks. The algorithm makes no specific assumption on network topology and hence is suitable for improving sensor networks with clustering. In addition to experiments, the mathematical proofs of lifetime extension by the proposed routing algorithm are given in accordance with three widely accepted criteria – total energy dissipation, the number of live nodes in each round and the throughput.

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