机会网络数据收集中的转发控制  

Forwarding Control Algorithm for Opportunistic Networks Data Gathering

作　　者：舒坚[1,2] 刘琳岚[2,3] 董海星[2,3] 杨世伟[1,2] 

机构地区：[1]南昌航空大学软件学院,南昌330063 [2]南昌航空大学物联网技术研究所．南昌330063 [3]南昌航空大学信息工程学院,南昌330063

出　　处：《传感技术学报》2012年第1期129-134,共6页Chinese Journal of Sensors and Actuators

基　　金：国家自然科学基金项目(60773055);航空科学基金项目(2010ZC56008)

摘　　要：针对机会网络中由于节点移动、网络稀疏等各种原因通常导致网络拓扑动态变化大,消息源节点到汇聚节点之间往往不存在稳定的端到端的通信链路,提出了一种基于偏好顺序决策法(the technique for order preference by similarity to ideal so-lution,TOPSIS)的数据收集策略(data gathering based on the TOPSIS,DGT)。DGT策略根据节点的剩余能量、感知节点到汇聚节点的距离以及传感器节点的连通变化,采用TOPSIS评估选择下一跳中继节点。仿真实验表明,与现有的几种典型转发控制机制相比,DGT策略在保证较低传输延迟和较高传输成功率的基础上,通过减少节点间的转发次数,降低了网络传输开销。In opportunity networks,the network topology changes dynamically,and there is no existence of a stable path between the source node and Sink node for most of the time due to nodal mobility, low density, etc.. A forwarding control scheme was proposed, which is based on the Technique for Order Preference by Similarity to Ideal Solution （TOPSIS） for opportunistic networks data gathering （DGT）. Considering nodal remaining energy, distance between the sensor node and Sink node and connectivity change of the sensor node,DGT selects the next hop relay node by the result of the TOPSIS evaluation. The simulation results show that, in ensuring lower transmission delay and higher transmission success rate, DGT reduces the network overhead and the energy consumption in the process of data transmission.

关 键 词：机会网络 转发控制 偏好顺序 连通变化 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]