基于路径障碍移除模型的拓扑控制算法
Path-obstacle-remove Model Based Topology Control Algorithm
节点间存在的障碍物所引发会阴影衰落,使得信号在传播过程中额外消耗能量。为解决该问题,将这部分额外消耗的能量转换成节点间逻辑距离,并依托逻辑距离构建了路径障碍移除模型。其后,考虑到传感器节点的能量受限,须尽可能地减小能耗、延长网络生命期,因此结合路径障碍移除模型与节点剩余能量,设计了一种能移除路径障碍的分布式能量意识拓扑控制算法(PORTC)。该算法在满足实际应用需求的同时,还能保证节点不因剩余能量较少而过早死亡。通过理论分析与仿真验证了PORTC算法不仅满足网络的连通性、双向性,在具有良好鲁棒性、稀疏性的同时还能有效的延长网络生命期。
he obstacles existing in the propagation path cause shadow fading. As a consequence, signal's energy is additionally consumed to overcome the influence incurred by the shadow fading. In order to solve this problem, this paper transforms the additional attenuation energy into logic distance between nodes, and structure a new model named path-obstacle-remove model based on logic distance. Next, considering that the excessive energy consumption of lower-energy nodes restricts the network lifetime, an energy-aware topology control algorithm based on path-obstacle-remove model (PORTC) is proposed. This algorithm meets the demands of practical application. Besides, it can guarantee the node does not premature deaths due to residual energy is less. Theoretic analysis and simulations validate that PORTC could ensure the connectivity and bi-directionality of network. It has good performance on robustness and sparseness. Moreover, PORTC can prolong the network lifetime significantly.
汝小月、郝晓辰、辛敏洁
通信无线通信
无线传感器网络拓扑控制逻辑距离剩余能量
Wireless Sensor Networks (WSN)path obstaclestopology controllogic distancesurplus energy
汝小月,郝晓辰,辛敏洁.基于路径障碍移除模型的拓扑控制算法[EB/OL].(2014-04-16)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201404-205.点此复制
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