[1] 和志杰,杨春玲,汤瑞东.视频压缩中基于结构相似的帧间组稀疏表示重构算法研究[J].电子学报,2018,46(3):544-543. HE Zhi-jie,YANG Chun-ling,TANG Rui-dong.Research on structural similarity based inter-frame group sparse representation for compress video sensing[J].Acta Electronica Sinica,2018,46(3):544-553.(in Chinese)
[2] BHOWMIK S,GIRI C.Convoy tree based fuzzy target tracking in wireless sensor networks[J].International Journal of Wireless Information Networks,2017,24(4):476-484.
[3] 刘洲洲,李士宁.采用压缩感知和GM(1,1)的无线传感器网络异常检测方法[J].西安交通大学学报,2017,51(2):40-46. LIU Zhou-zhou,LI Shi-ning.An anomaly detection method for wireless sensor networks based on compressed sensing and GM(1,1)[J].Journal of Xi’an Jiaotong University,2017,51(2):40-46.(in Chinese)
[4] YU Xiao-han,BAEK S J.Joint routing and scheduling for data collection with compressive sensing to achieve order-optimal latency[J].International Journal of Distributed Sensor Networks,2017,13(10):1-13.
[5] ZHOU Fen,CHEN Zhen-zhong,GUO Song,LI Jie.Maximizing lifetime of data-gathering tree with different aggregation modes in WSNs[J].IEEE Sensors Journal,2016,16(22):8167-8177.
[6] SINGH V K,SHARMA G,KUMAR M.Compressed sensing based acoustic event detection in protected area networks with wireless multimedia sensor[J].Multimedia Tools and Applications,2017,76(18):18531-18555.
[7] CHEN Wei,WASSELL L J.Cost-aware activity scheduling for compressive sleeping wireless sensor networks[J].IEEE Transactions on Signal Processing,2016,64(9):2314-2323.
[8] MISRA P,JU Wen,YANG Ming-rui,et al.Sparsity based efficient cross-correlation techniques in sensor networks[J].IEEE Transactions on Mobile Computing,2017,16(7):2037-2050.
[9] WU Lian-tao,SUN P,XIAO Ming,et al.Sparse signal aloha:A compressive sensing-based method for uncoordinated multiple access[J].IEEE Communications Letters,2017,21(6):1301-1304.
[10] 张策,张霞,李鸥.不可靠链路下基于压缩感知的WSN数据收集算法[J].通信学报,2016,37(9):131-141. ZHANG Ce,ZHANG Xia,LI Ou.Compressive sensing based data gathering algorithm over unreliable links in WSN[J].Journal on Communications,2016,37(9):131-141.(in Chinese)
[11] TALARI A,RAHNAVARD N.CStorage:decentralized compressive data storage in wireless sensor networks[J].Ad Hoc Networks,2016,37:475-485.
[12] LUO Chong,WU Feng,SUN Jun,CHEN Chang-wen.Compressive data gathering for large-scale wireless sensor networks[A].The 15th Annual ACM International Conference on Mobile Computing and Networking[C].Beijing China:ACM,2009.145-156.
[13] WU Xuan-gou,YANG Pan-long,JUNG T,et al.Compressive sensing meets unreliable link:sparsest random scheduling for compressive data gathering in lossy WSNs[A].The 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing[C].Philadelphia USA:ACM,2014.13-22.
[14] 韩哲,张霞,李鸥,等.面向有损链路的传感网压缩感知数据收集算法[J].软件学报,2017,28(12):3257-3273. HAN Zhe,ZHANG Xia,LI Ou,et al.Data gathering algorithm based on compressive sensing under lossy WSN[J].Journal of Software,2017,28(12):3257-3273.(in Chinese)
[15] XIAO Xue,SONG Xiao,LEI Quan.Efficient measurement method for spatiotemporal compressive data gathering in wireless sensor networks[J].KSII Transactions on Internet and Information Systems,2018,12(4):1618-1637.
[16] 裴立业,江桦,李明.一种基于能量的压缩感知稀疏度估计算法[J].电子学报,2017,45(2):285-290. PEI Li-ye,JIANG Hua,LI Ming.A sparsity order estimation algorithm based on measure signal’s energy[J].Acta Electronica Sinica,2017,45(2):285-290.(in Chinese)
[17] AZARNIA G,TINATI M A,REZAII T Y.Cooperative and distributed algorithm for compressed sensing recovery in WSNs[J].IET Signal Processing,2018,12(3):346-357.
[18] 徐佳,冯鑫,杨富贵,等.最大化最小能耗概率的移动Sink无线传感器网络数据收集方法[J].电子学报,2015,43(12):2470-2475. XU Jia,FENG Xin,YANG Fu-gui,et al.A data collection method by maximizing minimum probability of energy consumption for mobile sink based WSNs[J].Acta Electronica Sinica,2015,43(12):2470-2475.(in Chinese)
[19] 杨浩,王喜玮.基于区域化压缩感知的无线传感器网络数据收集方法[J].计算机学报,2017,40(8):1933-1946. YANG Hao,WANG Xi-wei.Data gathering based on regionalized compressive sensing in WSN[J].Chinese Journal of Computers,2017,40(8):1933-1946.(in Chinese) |