动态Ad Hoc网络中基于熵度量的最优化位置感知研究
|
摘要
在移动Ad hoc网络中的每个节点既是信息接收方同时又是发送方,由于其网络拓扑每时每刻均在发生变化,对于接入方来说,其希望能迅速的接入到现有的Ad hoc网络中,本研究总结了现有的基于能量位置感知的模型,提出基于物理学中熵的理念,建立基于熵度量的HDV-Hop网络节点量化模型,从而为接入方提供最为优化的接入位置,即最优化的接入节点,从而提高Ad hoc网络的有效利用性。NS2仿真结果表明,依据邻居节点间不断变化的熵值,可以使得移动Ad hoc网络中的接入方动态的感知最优化的位置状态,提高链路的利用率。
Each node in Mobile Ad hoc network is both an information recipient and a sender. Because network topology is changing all the time, recipients always expect to access to existing Ad hoc networks quickly. This research summarizes the existing models based on energy location-aware and proposes the concept of entropy on the basic of physics, thus establishes the HDV-Hop network node quantitative model based on entropy measure. It provides the best optimized access position for the recipient, namely the optimal access node, thereby enhances the effective use of Ad hoc network. Result of NS2 simulation shows that in accordance with the changing entropy value between neighbor nodes, recipient in mobile Ad hoc network can perceive the optimized location dynamically, thereby improve the utilization of the link.
Each node in Mobile Ad hoc network is both an information recipient and a sender. Because network topology is changing all the time, recipients always expect to access to existing Ad hoc networks quickly. This research summarizes the existing models based on energy location-aware and proposes the concept of entropy on the basic of physics, thus establishes the HDV-Hop network node quantitative model based on entropy measure. It provides the best optimized access position for the recipient, namely the optimal access node, thereby enhances the effective use of Ad hoc network. Result of NS2 simulation shows that in accordance with the changing entropy value between neighbor nodes, recipient in mobile Ad hoc network can perceive the optimized location dynamically, thereby improve the utilization of the link.
引文
[1]Toh C K.Ad Hoc mobile wireless networks:protocols and systems[M].New York:Prentice Hall,2002.
[2]刘宴涛,王雪冰,秦娜.无线自组网移动性建模技术[M].北京:电子工业出版社,2012:74-140.
[3]孔凡兴.无线传感器网络节点感知进化计算模型研究[J].计算机仿真,2013,5:293-297.
[4]斯特凡诺.巴萨尼,马尔科.孔蒂,西尔维娅.焦尔达诺,伊万.斯托伊梅诺维奇.移动Ad Hoc网络[M].任品毅,王熠晨译.西安:西安交通大学出版社,2012:241-261.
[5]李煜,陈林星.基于移动无线传感器网络的定位研究概论[J].工业控制计算机,2011,24(8):23-25.
[6]尚小航.基于DV-Hop的无线传感器网络定位算法研究[D].吉林:吉林大学,2012.
[7]陈华.基于熵度量的长寿MAODV协议[J].计算机工程,2007,6:158-160.
[2]刘宴涛,王雪冰,秦娜.无线自组网移动性建模技术[M].北京:电子工业出版社,2012:74-140.
[3]孔凡兴.无线传感器网络节点感知进化计算模型研究[J].计算机仿真,2013,5:293-297.
[4]斯特凡诺.巴萨尼,马尔科.孔蒂,西尔维娅.焦尔达诺,伊万.斯托伊梅诺维奇.移动Ad Hoc网络[M].任品毅,王熠晨译.西安:西安交通大学出版社,2012:241-261.
[5]李煜,陈林星.基于移动无线传感器网络的定位研究概论[J].工业控制计算机,2011,24(8):23-25.
[6]尚小航.基于DV-Hop的无线传感器网络定位算法研究[D].吉林:吉林大学,2012.
[7]陈华.基于熵度量的长寿MAODV协议[J].计算机工程,2007,6:158-160.