Deployment Optimization Algorithm for Regional MANET Containing Near Space Vehicles as a Part
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摘要: 该文针对基于临近空间飞行器的新型区域自组织网络,提出一种优化部署方案。采用线性递减权值粒子群算法,对于临近空间飞行器节点,一个粒子代表所有飞行器节点坐标集合,以最大化网络覆盖空间的联合通信覆盖率为目标,进行节点的优化部署。对于地面骨干节点,一个粒子代表一个网络分区内骨干节点坐标,以最多覆盖节点数和最小平均跳数为目标,进行初始化。网络运行过程中根据任务区域内数据业务分布情况,以趋近数据量多、业务优先级高的区域为目标,动态调整更新地面骨干节点位置。仿真结果表明,所提方案能为上层协议的运行提供良好基础,使网络分组投递率、延迟和开销等性能得到改善。Abstract: Regional MANET which contains near space vehicles as a part is a new kind of Ad hoc network. This paper proposed a deployment scheme for such network based on Particle Swarm Optimization (PSO) algorithm. For nodes which are near space vehicles, their deployment aims at maximizing joint communication covered space of the network. One particle represents a set of positions of them and optimized deployment positions for near space vehicles can be obtained with iterative method. For controllable backbone nodes on earth surface, their deployment is executed within each groups which they belong and thus one particle represents position of one backbone node. During network initial stage, the deployment aims at maximizing the number of common nodes covered by backbone nodes and minimizing average hops from common nodes to backbone nodes. During network running stage, positions of backbone nodes are dynamically adjusted to best serve their groups. The dynamic deployment mechanism ensures backbone nodes are closest to the most heavily loaded nodes, or to the nodes that generate packets of the highest priority. Simulation results show that the proposed deployment scheme can provides better operation basis for upper layer protocols in terms of network performance metrics such as throughput, latency and control overhead.
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