基于位置信息和能量均衡的声电协同网络AODV

doi:10.11959/j.issn.2096-3750.2023.00325

物联网学报 ›› 2023, Vol. 7 ›› Issue (1): 27-36.doi: 10.11959/j.issn.2096-3750.2023.00325

• 专题：面向情景的智能网络与按需组网 • 上一篇下一篇

基于位置信息和能量均衡的声电协同网络AODV

卫浓钰¹^,², 江子龙¹^,², 陈芳炯¹^,²

¹ 华南理工大学电子与信息学院，广东广州 510641
² 自然资源部海洋环境探测技术与应用重点实验室，广东广州 510641

修回日期:2022-12-29 出版日期:2023-03-30 发布日期:2023-03-01
作者简介:卫浓钰（1997- ），女，华南理工大学电子与信息学院硕士生，主要研究方向为水声网络、声电协同网络路由等
江子龙（1991- ），男，华南理工大学电子与信息学院博士生，主要研究方向为无线通信网络、声电协同网络路由等
陈芳炯（1975- ），男，博士，华南理工大学电子与信息学院教授，主要研究方向为无线通信及组网技术，具体包括信道估计与均衡、新型调制技术，声电协同组网等
基金资助:
国家自然科学基金资助项目(62192711)

AODV protocol for acoustic-radio integrated network based on location information and energy balance

Nongyu WEI¹^,², Zilong JIANG¹^,², Fangjiong CHEN¹^,²

¹ School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China
² Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources, Guangzhou 510641, China

Revised:2022-12-29 Online:2023-03-30 Published:2023-03-01
Supported by:
The National Natural Science Foundation of China(62192711)

摘要/Abstract

摘要：

不同于陆地物联网应用，海洋物联网应用往往需要解决水面网络与水下网络之间的信息交互问题，合理的路由方案是解决上述问题的关键。因此，提出了一种基于位置信息和能量均衡的声电协同网络自组织按需距离向量路由协议（AR-AODV, ad hoc on-demand distance vector for acoustic-radio integrated network），旨在引导信息流更多地通过水面无线电链路进行转发，从而减轻水下通信网的负担，提升网络的整体性能。在该协议中，浮标节点的转发优先级高于水下节点。当源节点需要发送数据时，它进入路由发现阶段，节点以自身的位置和能量信息作为启发式信息，用于计算转发概率并广播路由请求（RREQ, route request）报文进行寻路。当目的节点收到RREQ报文时，发送RREP报文进行信息素更新，依据信息素的大小选择最优的路径。与AODV相比，AR-AODV在传输成功率、传输时延、吞吐量、能量转化率、寻路包转发次数方面的性能有显著提升。

关键词: 海洋物联网, 跨域通信, 路由协议, 位置信息, 能量均衡

Abstract:

Different from terrestrial internet of things (IoT) applications, marine IoT applications need to solve the problem of information interaction between surface network and underwater network.The key to solve this problem is to design a proper routing scheme.An ad hoc on-demand distance vector for acoustic-radio integrated network (AR-AODV) was proposed based on location information and energy balance.The protocol enables surface radio links to forward more information data, so as to reduce the burden of underwater communication network and improve the overall performance.In the proposed protocol, the forwarding priority of the buoy nodes was higher than that of the underwater nodes.When the source node needs to send data, it enters the route discovery phase, i.e., the node uses its position and energy information as the heuristic information to calculate the forwarding probability and broadcast route request (RREQ) packets.When the destination node receives an RREQ packet, it sent an RREP packet to update the pheromone and select the optimal path based on the pheromone.Compared with AODV protocol, AR-AODV protocol has significantly improved the performance in terms of transmission success rate, transmission delay, throughput, energy conversion rate and routing packet forwarding times.

Key words: marine IoT, cross-domain communication, routing protocol, location information, energy balance

中图分类号:

TP393

卫浓钰, 江子龙, 陈芳炯. 基于位置信息和能量均衡的声电协同网络AODV[J]. 物联网学报, 2023, 7(1): 27-36.

Nongyu WEI, Zilong JIANG, Fangjiong CHEN. AODV protocol for acoustic-radio integrated network based on location information and energy balance[J]. Chinese Journal on Internet of Things, 2023, 7(1): 27-36.

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参考文献 32

[1]	JIANG S M . Networking in oceans[J]. ACM Computing Surveys, 2022,54(1): 1-33.
[2]	余文科, 程媛, 李芳 ,等. 物联网技术发展分析与建议[J]. 物联网学报, 2020,4(4): 105-109.
	YU W K , CHENG Y , LI F ,et al. Analysis and suggestions on the development of IoT technology[J]. Chinese Journal on Internet of Things, 2020,4(4): 105-109.
[3]	DOMINGO M C . An overview of the internet of underwater things[J]. Journal of Network and Computer Applications, 2012,35(6): 1879-1890.
[4]	ZHOU J J , SU Z , XU Q C ,et al. Cooperative content offloading scheme in air-ocean integrated networks[J]. Peer-to-Peer Networking and Applications, 2021,14(5): 3388-3404.
[5]	ZOLICH A , PALMA D , KANSANEN K ,et al. Survey on communication and networks for autonomous marine systems[J]. Journal of Intelligent ＆ Robotic Systems, 2019,95(3/4): 789-813.
[6]	LIN K Q , HAO T , ZHENG W A ,et al. Analysis of LoRa link quality for underwater wireless sensor networks:a semi-empirical study[C]// Proceedings of 2019 IEEE Asia-Pacific Microwave Conference. Piscataway:IEEE Press, 2019: 120-122.
[7]	TONOLINI F , ADIB F . Networking across boundaries:enabling wireless communication through the water-air interface[C]// Proceedings of SIGCOMM’18:Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication. New York:ACM Press, 2018: 117-131.
[8]	ENHOS K , DEMIRORS E , UNAL D ,et al. Software-defined visible light networking for bi-directional wireless communication across the air-water interface[C]// Proceedings of 2021 18th Annual IEEE International Conference on Sensing,Communication,and Networking. Piscataway:IEEE Press, 2021: 1-9.
[9]	VASILIJEVI? A , NA? ? , MI?KOVI? N . Autonomous surface vehicles as positioning and communications satellites for the marine erational environment—step toward internet of underwater things[C]// Proceedings of 2018 IEEE 8th International Conference on Underwater System Technology:Theory and Applications. Piscataway:IEEE Press, 2018: 1-5.
[10]	LUO J H , CHEN Y P , WU M ,et al. A survey of routing protocols for underwater wireless sensor networks[J]. IEEE Communications Surveys ＆ Tutorials, 2021,23(1): 137-160.
[11]	官权升, 陈伟琦, 余华 ,等. 声电协同海洋信息传输网络[J]. 电信科学, 2018,34(6): 20-28.
	GUAN Q S , CHEN W Q , YU H ,et al. Acoustic-radio cooperative marine information network[J]. Telecommunications Science, 2018,34(6): 20-28.
[12]	CHEN F J , JIANG Z L , JI F ,et al. Radio-acoustic integrated network for ocean information transmission:framework and enabling technologies[J]. China Communications, 2021,18(9): 62-70.
[13]	HALLER S , KARNOUSKOS S , SCHROTH C . The internet of things in an enterprise context[C]// Future Internet symposium. Heidelberg:Springer, 2008: 14-28.
[14]	江子龙, 王焱, 钟雪峰 ,等. 基于NS-3的声电协同网络实现及路由性能分析[J]. 电子与信息学报, 2022,44(6): 2014-2023.
	JIANG Z L , WANG Y , ZHONG X F ,et al. Implementation and routing performance analysis based on network simulator-3 for coordinate radio-acoustic network[J]. Journal of Electronics ＆ Information Technology, 2022,44(6): 2014-2023.
[15]	AKYILDIZ I F . Underwater acoustic sensor networks:research challenges[J]. Ad Hoc Networks, 2005,3(3): 257-279.
[16]	KHAN H , HASSAN S A , JUNG H . On underwater wireless sensor networks routing protocols:a review[J]. IEEE Sensors Journal, 2020,20(18): 10371-10386.
[17]	YAN H , SHI Z J , CUI J H . DBR:depth-based routing for underwater sensor networks[M]// NETWORKING 2008 Ad Hoc and Sensor Networks,Wireless Networks,Next Generation Internet. Heidelberg: Springer, 2008: 72-86.
[18]	WAHID A , LEE S , JEONG H J ,et al. EEDBR:energy-efficient depth-based routing protocol for underwater wireless sensor networks[C]// Advanced Computer Science and Information Technology.[S.l.:s.n.], 2011: 223-234.
[19]	GUL S , JOKHIO S H , JOKHIO I A . Light-weight depth-based routing for underwater wireless sensor network[C]// Proceedings of 2018 International Conference on Advancements in Computational Sciences (ICACS). Piscataway:IEEE Press, 2018: 1-7.
[20]	XIE P , CUI J H , LAO L . VBF:vector-based forwarding protocol for underwater sensor networks[C]// Proceedings of International Conference on Research in Networking. Heidelberg:Springer, 2006: 1216-1221.
[21]	NICOLAOU N , SEE A , XIE P ,et al. Improving the robustness of location-based routing for underwater sensor networks[C]// Proceedings of OCEANS 2007 - Europe. Piscataway:IEEE Press, 2007: 1-6.
[22]	JOHNSON D R , RHYMEND UTHARIARAJ V . Routing protocols for underwater wireless sensor networks[C]// Proceedings of 2018 10th International Conference on Advanced Computing (ICoAC). Piscataway:IEEE Press, 2018: 261-268.
[23]	DHONGDI S , BHANDARI A , SINGH J ,et al. Joint clustering and routing protocol for 3-D underwater acoustic sensor network[C]// Proceedings of 2018 10th International Conference on Ubiquitous and Future Networks (ICUFN). Piscataway:IEEE Press, 2018: 415-420.
[24]	KARIM S , SHAIKH F K , AURANGZEB K ,et al. Anchor nodes assisted cluster-based routing protocol for reliable data transfer in underwater wireless sensor networks[J]. IEEE Access, 2021(9): 36730-36747.
[25]	LUO H J , XIE X M , HAN G J ,et al. Multimodal acoustic-RF adaptive routing protocols for underwater wireless sensor networks[J]. IEEE Access, 2019(7): 134954-134967.
[26]	LIU M M , JI F , GUAN Q S ,et al. On-surface wireless-assisted opportunistic routing for underwater sensor networks[C]// Proceedings of WUWNet’16:Proceedings of the 11th ACM International Conference on Underwater Networks ＆ Systems.[S.l.:s.n.], 2016: 1-5.
[27]	DING J N , WANG C H , JIANG M Q ,et al. Cross media routing and clustering algorithm for autonomous marine systems[C]// Proceedings of 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems. Piscataway:IEEE Press, 2021: 289-296.
[28]	DORIGO M , DI CARO G . Ant colony optimization:a new meta-heuristic[C]// Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat.No.99TH8406). Piscataway:IEEE Press, 1999,2: 1470-1477.
[29]	郁瀚 . 基于信任管理机制和蚁群算法的 Ad Hoc安全路由研究[D]. 南京:东南大学, 2021.
	YU H . Research on Ad Hoc secure routing based on trust management mechanism and ant colony algorithm[D]. Nanjing:Southeast University, 2021.
[30]	DUCATELLE F , DI CARO G , GAMBARDELLA L M . Using ant agents to combine reactive and proactive strategies for routing in mobile Ad Hoc networks[J]. International Journal of Computational Intelligence and Applications, 2005,5(2): 169-184.
[31]	PERKINS C , BELDING-ROYER E , DAS S . Ad hoc on-demand distance vector (AODV) routing[R]. RFC Editor, 2003.
[32]	JACQUET P , MUHLETHALER P , CLAUSEN T ,et al. Optimized link state routing protocol for Ad Hoc networks[C]// Proceedings of IEEE International Multi Topic Conference,2001.IEEE INMIC 2001.Technology for the 21st Century. Piscataway:IEEE Press, 2001: 62-68.

参数	取值
水下节点个数	20、30
浮标节点个数	8
水声网络设备传输距离/km	2
无线电网络设备传输距离/ km	5
节点能量/ J	10 000
数据包长度/ byte	200
数据包发送间隔/ s	5
水声通信调制方式	FSK
水声信道中心频率/ kHz	20
水声信道带宽/ kHz	10
水声信道数据速率/(kbit·s^-1)	4.8
水声信道传播模型	Thorp
水下声速/(m·s^-1)	1 500
无线电传播速度/(m·s^-1)	3×10⁸
无线电调制方式	OFDM
α、β、ρ	0.5、2、0.5
浮标节点权重参数a₁、b₁	1、1
水下节点权重参数a₂、b₂	0.5、0.5

基于位置信息和能量均衡的声电协同网络AODV

AODV protocol for acoustic-radio integrated network based on location information and energy balance

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