Researches on Mobility Management, Routing and Power Control Mechanisms in Mobile Wireless Communication Networks

• Main Authors: Kuan-Rong Lee, 李冠榮
• Other Authors: Yau-Hwang Kuo
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/66844586814525720718

博士 === 國立成功大學 === 資訊工程學系碩博士班 === 94 === 　　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.