论文部分内容阅读
泛洪是无线传感器网络进行数据分发、时间同步,网络配置的基本操作.已有的大量工作蕴含链路独立性假设,即假定不同链路同时收发数据包是相互独立的.链路独立性假设导致严重的冗余重传并且降低了泛洪算法在实际应用中的有效性和可靠性.论文首先采用相关系数表征相邻链路关联度;接着提出基于链路相关性的泛洪算法FLC2,在保证泛洪协议可靠性和鲁棒性的同时减少数据包的转发次数和传送时延.大量仿真实验表明,与采用条件概率估计法相比,FLC2算法的包转发次数和发送时延都能下降21%以上,而且网络规模越大,FLC2算法的性能越优.
Flooding is the basic operation of wireless sensor networks for data distribution, time synchronization and network configuration.A large number of existing work imply the assumption of link independence, that is, assume that different links send and receive data packets at the same time and are independent of each other. Which leads to serious redundant retransmission and reduces the validity and reliability of the flooding algorithm in practice.Firstly, the correlation coefficient is used to characterize the relevance of adjacent links, and then the FLC2 algorithm based on link correlation is proposed, Reduce the number of packet forwarding and transmission delay while ensuring the reliability and robustness of flooding protocol.Many simulation experiments show that compared with the conditional probability estimation method, the FLC2 algorithm can reduce the number of packet forwarding and sending delay 21% or more, and the larger the network size, the better the performance of FLC2 algorithm.