C3S：基于相长干涉的智能传感系统并发传输策略研究

doi:10.11959/j.issn.1000-436x.2019017

通信学报 ›› 2019, Vol. 40 ›› Issue (1): 180-194.doi: 10.11959/j.issn.1000-436x.2019017

C3S：基于相长干涉的智能传感系统并发传输策略研究

毛艳艳¹,程大鹏¹,冯烟利¹,窦全胜¹,李大社¹

¹ 山东工商学院计算机科学与技术学院，山东烟台 264005
² 中国石油大学（华东）地球科学与技术学院，山东青岛 266580
³ 山东省高等学校协同创新中心：未来智能计算，山东烟台 264005
⁴ 山东省高校智能信息处理重点实验室（山东工商学院），山东烟台 264005

修回日期:2018-12-04 出版日期:2019-01-01 发布日期:2019-02-03
作者简介:毛艳艳（1979-），女，山东青岛人，山东工商学院讲师，主要研究方向为物联网技术、大数据处理。|程大鹏（1979-），男，山东济宁人，博士，山东工商学院副教授，主要研究方向为无线传感器网络、时空大数据。|冯烟利（1962-），男，山东烟台人，山东工商学院教授，主要研究方向为软件定义网络、智能信息处理。|窦全胜（1971-），男，黑龙江大庆人，博士，山东工商学院教授，主要研究方向为解决优化问题的计算智能理论与方法、数据挖掘、知识工程与知识处理。|李大社（1978-），男，山东临沂人，博士，山东工商学院副教授，主要研究方向为无线传感器网络。
基金资助:
国家自然科学基金资助项目(61772319);山东省自然科学基金资助项目(ZR2017MF049);赛尔网络下一代互联网技术创新基金资助项目(NGII20180609);山东工商学院博士启动基金资助项目(BS201727)

C3S:research of CI-based concurrent transmission strategy for intelligent sensing system

Yanyan MAO¹,Dapeng CHENG¹,Yanli FENG¹,Quansheng DOU¹,Dashe LI¹

¹ School of Computer Science and Technology，Shandong Technology and Business University,Yantai 264005,China
² School of Geosciences，China University of Petroleum (East China),Qingdao 266580,China
³ Co-innovation Center of Shandong Colleges and Universities:Future Intelligent Computing,Yantai 264005,China
⁴ Key Laboratory of Intelligent Information Processing in Universities of Shandong Shandong Technology and Business University,Yantai 264005,China

Revised:2018-12-04 Online:2019-01-01 Published:2019-02-03
Supported by:
The National Natural Science Foundation of China(61772319);The Natural Science Foundation of Shandong Province(ZR2017MF049);CERNET Innovation Project(NGII20180609)

摘要/Abstract

摘要：

并发传输技术对于智能传感系统具有重要意义。所提出的C3S策略基于相长干涉技术，由智能时钟同步层、智能能耗分配层和智能并行流水线层组成。智能时钟同步层设计了基于相长干涉的智能时钟校准算法ICCA，智能能耗分配层设计了相长干涉能量自适应调度方案 CIES，智能并行流水线层实现了基于相长干涉的并行流水线CI2P。实验结果表明，C3S策略可以有效提升智能传感系统并发传输的分组接收率，降低系统的能量消耗，改善系统的信道利用率。

关键词: 并发传输技术, 智能传感系统, 相长干涉, 能耗优化, 并行流水线

Abstract:

Concurrent transmission technology has important sense for Intelligent Sensing System (ISS).The C3S strategy based with constructive interference (CI) was proposed.C3S was composed of intelligent clock synchronization layer,intelligent energy consumption allocation layer and intelligent parallel pipeline layer.The intelligent clock synchronization layer designed ICCA,a CI-based intelligent clock calibration algorithm.The intelligent energy allocation layer designed CIES,a energy adaptive scheduling scheme for CI,Moreover,a CI-based parallel pipeline CI2P was implemented in the intelligent parallel pipeline layer.The experimental results show that the C3S strategy can effectively improve the packet receiving rate of the concurrent transmission in ISS.It can also reduce the energy consumption of ISS and improve the channel utilization rate of ISS.

Key words: concurrent transmission technology, intelligent sensing system, constructive interference

中图分类号:

TP393

毛艳艳,程大鹏,冯烟利,窦全胜,李大社. C3S：基于相长干涉的智能传感系统并发传输策略研究[J]. 通信学报, 2019, 40(1): 180-194.

Yanyan MAO,Dapeng CHENG,Yanli FENG,Quansheng DOU,Dashe LI. C3S:research of CI-based concurrent transmission strategy for intelligent sensing system[J]. Journal on Communications, 2019, 40(1): 180-194.

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参考文献 34

[1]	ZHANG P , WANG S K , GUO K H ,et al. A secure data collection scheme based on compressive sensing in wireless sensor networks[J]. Ad Hoc Networks, 2018,70(3): 73-84.
[2]	WEN W M,ZHAO S H , SHANG C JU , et al . EAPC:energy-aware path construction for data collection using mobile sink in wireless sensor networks[J]. IEEE Sensors Journal, 2018,18(2): 890-901
[3]	ILLIANO V P , MUNOZ-GONZáLEZ L , LUPU E C . Don't fool me!:detection,characterisation and diagnosis of spoofed and masked events in wireless sensor networks[J]. IEEE Transactions on Dependable and Secure Computing, 2017,14(3): 279-293
[4]	ABU-MAHFOUZ A M , HANCKE G P . Localised information fusion techniques for location discovery in wireless sensor networks[J]. International Journal of Sensor Networks, 2018,26(1): 12-25
[5]	ERDEL J M , NATALIZIO E , CHOWDHURY K R ,et al. Help from the sky:leveraging UAVs for disaster management[J]. IEEE Pervasive Computing, 2017,16(1): 24-32.
[6]	D?MASO A , ROSA N , MACIEL P . Integrated evaluation of reliability and power consumption of wireless sensor networks[J]. Sensors, 2017,17(11): 2547.
[7]	SáNCHEZ-áLVAREZ D , LINAJE M , RODRíGUEZ-PéREZ F J . A framework to design the computational load distribution of wireless sensor networks in power consumption constrained environments[J]. Sensors, 2018,18(4): 954-973.
[8]	ANISI M H , ABDUL-SALAAM G , IDRIS M Y I ,et al. Energy harvesting and battery power based routing in wireless sensor networks[J]. Wireless Networks, 2017,23(1): 249-266
[9]	MUKHERJEE M , SHU L , HU L ,et al. Sleep scheduling in industrial wireless sensor networks for toxic gas monitoring[J]. IEEE Wireless Communications, 2017,24(4): 106-112
[10]	SAHOO P K , THAKKAR H K , HWANG I . Pre-scheduled and self organized sleep-scheduling algorithms for efficient k-coverage in wireless sensor networks[J]. Sensors, 2017,17(12): 2945.
[11]	KUMAR A , SHWE H Y , WONG K J ,et al. Location-based routing protocols for wireless sensor networks:a survey[J]. Wireless Sensor Network, 2017,9(01): 25.
[12]	KURT S , YILDIZ H U , YIGIT M ,et al. Packet size optimization in wireless sensor networks for smart grid applications[J]. IEEE Transactions on Industrial Electronics, 2017,64(3): 2392-2401
[13]	GOMES R D , QUEIROZ D V , LIMA FILHO A C ,et al. Real-time link quality estimation for industrial wireless sensor networks using dedicated nodes[J]. Ad Hoc Networks, 2017,59: 116-133
[14]	JAVAID N , HAFEEZ T , WADUD Z ,et al. Establishing a cooperation-based and void node avoiding energy-efficient underwater WSN for a cloud[J]. IEEE Access, 2017,5: 11582-11593.
[15]	SAHOO P K , PATTANAIK S R , WU S L.A reliable data transmission model for IEEE 802.15 . 4E enabled wireless sensor network under WiFi interference[J]. Sensors, 2017,17(6): 1320.
[16]	PRABAL D , STEPHEN D H , YIN C ,et al. Design and evaluation of a versatile and efficient receiver-initiated link layer for low-power wireless[C]// The 8th ACM Conference on Embedded Networked Sensor Systems, 2010, 1-14.
[17]	FEDERICO F , MARCO Z , LOTHAR T ,et al. Efficient network flooding and time synchronization with Glossy[C]// The 10th International Conference on Information Processing in Sensor Networks. 2011, 73-84.
[18]	FEDERICO F , MARCO Z , LUCA M ,et al. Low-power wireless bus[C]// The 10th ACM Conference on Embedded Network Sensor Systems. 2012, 1-14.
[19]	MAKOTO S , YASUTAKA Y , HIROYUKI M . Field-oriented wireless sensor networks using low-power,end-to-end reliable collection protocol[C]// The 77th IEEE Vehicular Technology Conference. 2013, 1-5.
[20]	MANJUNATH D , MUN C C , BEN L . Splash:fast data dissemination with constructive interference in wireless sensor networks[C]// The 10th USENIX Symposium on Networked Systems Design and Implementation. 2013, 269-282.
[21]	WANG Y , HE Y , MAO X F ,et al. Exploiting constructive interference for scalable flooding in wireless networks[J]. IEEE/ACM Transactions on Networking, 2013,21(6): 1880-1889.
[22]	DOUG C , MARCUS C , ANDREAS T ,et al. Forwarder selection in multi-transmitter networks[C]// IEEE International Conference on Distributed computing in sensor systems. 2013, 1-10.
[23]	WANG Y , HE Y , CHENG D P ,et al. Triggercast:enabling wireless constructive collisions[C]// The 32nd IEEE International Conference on Computer Communications,mini conference. 2013, 480-484.
[24]	WANG Y , LIU Y H , HE Y ,et al. Disco:Improving packet delivery via deliberate synchronized constructive interference[J]. IEEE Transactions on Parallel and Distributed Systems, 2015,26(3): 713-723
[25]	DOUG C , ANDREAS T . Flip-MAC:a density-adaptive contentionreduction protocol for efficient any-to-one communication[C]// IEEE International Conference on Distributed computing in sensor systems. 2011, 1-8
[26]	OLAF L , FEDERICO F , MARCO Z . Chaos:versatile and efficient all-to-all data sharing and in-network processing at scale[C]// The 11th ACM Conference on Embedded Networked Sensor Systems. 2013, 1-14
[27]	KASIM S Y , AYLIN K . Time synchronization based on slow- flooding in wireless sensor networks[J]. IEEE Transactions on Parallel and Distributed Systems, 2014,25(1): 244-253
[28]	?STERLIND F , LUCA M , THIEMO V ,et al. Strawman:resolving collisions in bursty low-power wireless networks[C]// The 11th international conference on Information Processing in Sensor Networks. 2012, 161-172
[29]	JI X Y , HE Y , WANG J L ,et al. Walking down the STAIRS:efficient collision resolution for wireless sensor networks[C]// The 33rd IEEE International Conference on Computer Communications. 2014, 961-969.
[30]	ROMAN L , FEDERICO F , MARCO Z ,et al. Flocklab:a testbed for distributed,synchronized tracing and profiling of wireless embedded systems[C]// ACM/IEEE International Conference on Information Processing in Sensor Networks. 2013, 153-165.
[31]	MARCO Z , FEDERICO F , LUCA M ,et al. pTunes:runtime parameter adaptation for low-power MAC protocols[C]// The 11th International Conference on Information Processing in Sensor Networks. 2012, 173-184.
[32]	CHRISTOPH L , PHILIPP S , ROGER W . PulseSync:an efficient and scalable clock synchronization protocol[J]. IEEE/ACM Transactions on Networking, 2015,23(3): 717-727.
[33]	NIRANJINI R , PATRICK L , ANTHONY R . Visual light landmarks for mobile devices[C]// The 13th International Symposium on Information Processing in Sensor Networks, 2014, 249-260.
[34]	KHALED A , LI X Y , WANG Y ,et al. Geometric spanners for wireless ad hoc networks[J]. IEEE Transactions on Parallel and Distributed Systems, 2003,14(4): 408-421.

C3S：基于相长干涉的智能传感系统并发传输策略研究

C3S:research of CI-based concurrent transmission strategy for intelligent sensing system

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