[1] FATEH B, GOVINDARASU M. Energy minimization by exploiting data redundancy in real-time wireless sensor networks[J]. Ad Hoc Networks, 2013, 11(6): 1715-1731.
[2] BOUBRIMA A, BECHKIT W, RIVANO H. Optimal WSN deployment models for air pollution monitoring[J]. IEEE Transactions on Wireless Communications, 2017, 16(5): 2723-2735.
[3] MARAPPAN P, RODRIGUES P. An energy efficient routing protocol for correlated data using CL-LEACH in WSN[J]. Wireless Networks, 2016, 22(4): 1415-1423.
[4] RAO P C S, JANA P K, BANKA H. A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks[J]. Wireless Networks, 2017, 23(7): 2005-2020.
[5] MANN P S, SINGH S. Improved artificial bee colony metaheuristic for energy-efficient clustering in wireless sensor networks[J]. Artificial Intelligence Review, 2017(14): 1-26.
[6] YE D, ZHANG M. A self-adaptive sleep/wake-up scheduling approach for wireless sensor networks[J]. IEEE Transactions on Cybernetics, 2018, 48(3): 979-992.
[7] PAN H, CHEN J P, DING K, et al. Optimization of LEACH protocol based on multi-hop and data volume-distance distribution[J]. Electronics Optics & Control, 2018, 25(11): 93-96.
潘华, 陈佳品, 丁凯, 等. 一种基于多跳与按数据量-距离分发的LEACH协议优化[J]. 电光与控制, 2018, 25(11): 93-96.
[8] YE J H, WAN Y J, LIU C H, et al. A WSN energy equilibrium strategy combining K-means uniform clustering and data regression[J]. Journal of Chinese Mini-Micro Computer Systems, 2017, 38(8): 1688-1692.
叶继华, 万叶晶, 刘长红, 等. 一种结合K-means均匀分簇和数据回归的WSN能量均衡策略[J]. 小型微型计算机系统, 2017, 38(8): 1688-1692.
[9] YANG X Q. LEACH protocol based on improved cuckoo search algorithm[J]. Computer and Modernization, 2018(12): 11-14.
杨晓琴. 基于改进布谷鸟搜索算法的LEACH协议[J]. 计算机与现代化, 2018(12): 11-14.
[10] YE J H, WANG W, JIANG A W. LEACH-based heterogeneous WSN energy equalization clustering protocol[J]. Journal of Transduction Technology, 2015(12): 1853-1860.
叶继华, 王文, 江爱文. 一种基于LEACH的异构WSN能量均衡成簇协议[J]. 传感技术学报, 2015(12): 1853-1860.
[11] WAN Y J, YE J H, JIANG A W. An improved WSN energy saving strategy based on spatiotemporal correlation and anomaly detection[J]. Journal of Transduction Technology, 2017, 30(8): 1267-1273.
万叶晶, 叶继华, 江爱文. 一种基于时空相关性和异常检测的改进WSN节能策略[J]. 传感技术学报, 2017, 30(8): 1267-1273.
[12] MO W J, ZHENG L. WSN mobile sink path planning algorithm for optimizing network life cycle and shortest path[J]. Journal of Computer Applications, 2017, 37(8): 2150-2156.
莫文杰, 郑霖. 优化网络生命周期和最短化路径的WSN移动sink路径规划算法[J]. 计算机应用, 2017, 37(8): 2150-2156.
[13] PARMAR A, THAKKAR A. An improved modified LEACH-C algorithm for energy efficient routing in wireless sensor networks[J]. NIRMA University Journal of Engineering and Technology, 2015, 4(2): 917-922.
[14] CHENG X L, DENG Z D, DONG Z R. Energy consumption model based on wireless communication and computational feature analysis[J]. Journal of Computer Research and Development, 2009, 46(12): 1985-1993.
成小良, 邓志东, 董志然. 基于无线通信和计算特征分析的能耗模型[J]. 计算机研究与发展, 2009, 46(12): 1985-1993.
[15] PANG L J, LI H X, JIAO L C, et al. Broadcast key distribution protocol based on secret sharing in wireless sensor networks[J]. Journal of Transduction Technology, 2008, 21(10): 1775-1779.
庞辽军, 李慧贤, 焦李成, 等. 基于秘密共享的无线传感器网络广播密钥分发协议[J]. 传感技术学报, 2008, 21(10): 1775-1779.
[16] YUAN Y D, XU H Y. Research on multi-hop routing protocols in wireless sensor networks[J]. Computer Measurement and Control, 2017, 25 (4): 254-258.
袁耀东, 许红艳. 无线传感器网络多跳路由协议研究[J]. 计算机测量与控制, 2017, 25(4): 254-258.
[17] LIU S, LIU L F, TAO J. An improved GAF algorithm based on cellular structure[J]. Computer Technology and Development, 2009(1): 39-42.
刘曙, 刘林峰, 陶军. 一种基于蜂窝结构的改进GAF算法[J]. 计算机技术与发展, 2009(1): 39-42.
[18] ZHU M, XIAO Z, LIU H L, et al. Virtual grid-based clustering routing algorithm in WSN[J]. Journal of Sichuan University (Engineering Science Edition), 2012, 44(5): 143-148.
朱敏, 肖震, 刘昊霖, 等. WSN中基于虚拟网格的分簇路由算法[J]. 四川大学学报(工程科学版), 2012, 44(5): 143-148.
[19] YU X W, HU M F, LIU Q, et al. WSN hybrid multi-hop clustering routing algorithm based on cellular virtual grid [J]. Journal of Transduction Technology, 2018, 31(10): 117- 121.
余修武, 胡沐芳, 刘琴, 等. 基于蜂窝虚拟网格的WSN混合多跳分簇路由算法[J]. 传感技术学报, 2018, 31(10): 117-121.
[20] LI L, XU Z, CHEN L Y, et al. A low-latency routing procotol in low-duty-cycle WSN[J]. Computer Applications and Software, 2016, 33(11): 74-78.
李林, 徐震, 陈良银, 等. 低占空比WSN中一种低时延路由协议[J]. 计算机应用与软件, 2016, 33(11): 74-78.
[21] XU N, HU X H, LI H L, et al. Distributed topology control game algorithm for WSN with energy balance[J]. Information and Control, 2019, 48(2): 156-163.
徐宁, 胡晓辉, 李慧玲, 等. 一种能耗均衡的WSN分布式拓扑博弈算法[J]. 信息与控制, 2019, 48(2): 156-163.
[22] XU W, LIU D Y, BAO Z B. Research on energy consumption equilibrium of WSN based on residual energy[J]. Computer Engineering, 2015(6): 66-70.
徐卫, 刘端阳, 暴占兵. 基于剩余能量的可分负载WSN能耗均衡研究[J]. 计算机工程, 2015(6): 66-70.
[23] XU C, LI X C. Temperature and humidity monitoring system based on ZigBee-WSN[J]. Microcontrollers & Embedded Systems, 2012, 12(6): 36-39.
许驰, 李新春. 基于ZigBee-WSN的温湿度监测系统[J]. 单片机与嵌入式系统应用, 2012, 12(6): 36-39.
[24] YIN K Q, GUO Y, WANG D. Application of WSN in fire warning of on-board equipment of subway vehicles[J]. Instrument Technology and Sensor, 2014(5): 87-89.
尹克强, 郭勇, 王丹. WSN在地铁车辆车载设备火灾预警中应用[J]. 仪表技术与传感器, 2014(5): 87-89.
[25] XU X B, ZHANG G W, SUN Q B, et al. Precision configurable data aggregation algorithm in WSNs[J]. Acta Electronica Sinica, 2014, 42(6): 1205-1209.
徐晓斌, 张光卫, 孙其博, 等. 一种误差可控传输均衡的WSN数据融合算法[J]. 电子学报, 2014, 42(6): 1205-1209.
[26] TAN D K, FU X F, ZHAO J, et al. A data aggregation method based on abnormal data-driven in clusters of wireless sensor networks[J]. Journal of Transduction Technology, 2017(2): 306-312.
谭德坤, 付雪峰, 赵嘉, 等. 基于异常数据驱动的WSN簇内数据融合方法[J]. 传感技术学报, 2017(2): 306-312. |