基于SL-MPR选择算法的M-OLSR路由协议

SL-MPR Selection Algorithm Based M-OLSR Routing Protocol

近年来,随着多无人机系统在抗灾救险、环境勘测、军事作战等场景中的广泛应用,高效、灵活的无人机群组网研究已成为当下热点之一。现阶段无人机自组网存在拓扑变化频繁,网络开销增大和能量有限等特点,对OLSR(Optimized Link State Rout⁃ing)路由协议进行了分析研究。分析发现现阶段OLSR协议存在HELLO和TC消息包冗余或不能及时更新路由信息等问题,为此提出了一种基于SL-MPR选择算法的M-OLSR路由协议。首先综合考虑节点移动性、链路的变化情况等因素反映网络的拓扑变化情况,通过拓扑的变化控制节点HELLO消息的广播周期;其次提出一种新的MPR选择算法,考虑链路稳定问题和节点剩余能量(生存时间)因素,根据MPR集的更新频繁程度控制TC消息的洪泛周期。通过NS2仿真实验表明,相比传统的OLSR协议,M-OLSR在数据传输率方面提高了1%以上,能量消耗和网络开销均降低了10%左右。

In recent years,with the wide application of multi-UAV systems in disaster relief,environmental survey,military operations and other scenarios,efficient and flexible UAV swarm network research has become one of the current hot spots.At present,UAV Ad Hoc networks have the characteristics of frequent topology changes,increased network overhead and limited energy,and the OLSR(Optimized Link State Routing)routing protocol is analyzed and studied.By studying the problems of HELLO and TC message packet redundancy or inability to update routing information in time in the OLSR protocol at this stage,an M-OLSR routing protocol based on SL-MPR selection algorithm is proposed,that is,firstly,factors such as node mobility and link changes are comprehensively considered to reflect the topology changes of the network,and the broadcast cycle of HELLO messages of nodes is controlled through the change of topology.Secondly,a new MPR selection algorithm is proposed,which takes into account the link stability problem and node residual energy(survival time)factors that are not considered by the original MPR selection algorithm,and controls the flood period of TC messages according to the update frequency of the MPR set.NS2 simulation experiments show that compared with the traditional OLSR protocol,M-OLSR improves the data transmission rate by more than 1%,and reduces energy consumption and network overhead by about 10%.