|Table of Contents|

[1] Yin Haohao, Ding Cui, Yan Feng, Xia Weiwei, et al. A movement-assisted software-defined sensor networkwith NFV support [J]. Journal of Southeast University (English Edition), 2018, 34 (2): 156-165. [doi:10.3969/j.issn.1003-7985.2018.02.003]

A movement-assisted software-defined sensor networkwith NFV support()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2018 2
Research Field:
Information and Communication Engineering
Publishing date:


A movement-assisted software-defined sensor networkwith NFV support
Yin Haohao Ding Cui Yan Feng Xia Weiwei Shen Lianfeng
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
software-defined sensor network network function virtualization movement-assisted topology control
A flexible and controllable movement-assisted software-defined sensor network(MA-SDSN)based on the software-defined network(SDN)and network function virtualization(NFV)is proposed. First, a three-layer fundamental architecture is proposed to overcome the inherent distributed management and rigidity of the conventional wireless sensor networks. Furthermore, the platform for research and development of MA-SDSN is established, and the dumb node(DN), the software-defined node(SN)and the movement-assisted node(MN)are designed and implemented. Then, the southbound application programming interface(API)is designed to provide a series of frames for communication between controllers and sensor nodes. The northbound API is developed and demonstrated overall and in detail. The functions of the controller are presented including topology discovery, dynamic networking, packet processing, mobility management and virtualization. Followed by the MA-SDSN network model, a Markov chain-based movement-assisted weighted relocation(MMWR)topology control algorithm is proposed to redeploy the MNs based on the node status and weight. Simulation results and analysis indicate that the proposed algorithm based on the MA-SDSN extends network lifetime with a lower average power consumption.


[1] Luo T, Tan H P, Quek T Q S. Sensor OpenFlow: Enabling software-defined wireless sensor networks[J]. IEEE Communications Letters, 2012, 16(11): 1896-1899. DOI:10.1109/lcomm.2012.092812.121712.
[2] Mckeown N, Anderson T, Balakrishnan H, et al. OpenFlow: Enabling innovation in campus networks[J]. ACM Sigcomm Computer Communication Review, 2008, 38(2): 69-74.
[3] Bera S, Misra S, Roy S K, et al. Soft-WSN: Software-defined WSN management system for IoT applications[J]. IEEE Systems Journal, 2016: 1-8. DOI:10.1109/jsyst.2016.2615761.
[4] Tang M, Yan F, Deng S, et al. Coverage optimization algorithms based on voronoi diagram in software-defined sensor networks[C]//IEEE International Conference on Wireless Communications and Signal Processing. Yangzhou, China, 2016. DOI:10.1109/wcsp.2016.7752658.
[5] Blenk A, Basta A, Reisslein M, et al. Survey on network virtualization hypervisors for software defined networking[J]. IEEE Communications Surveys and Tutorials, 2016, 18(1): 655-685.DOI:10.1109/comst.2015.2489183.
[6] Li X, Cai J, Zhang H. Topology control for guaranteed connectivity provisioning in heterogeneous sensor networks[J]. IEEE Sensors Journal, 2016, 16(12): 5060-5071. DOI:10.1109/jsen.2016.2549543.
[7] Galluccio L, Milardo S, Morabito G, et al. SDN-WISE: Design, prototyping and experimentation of a stateful SDN solution for wireless sensor networks[C]//2015 IEEE Conference on Computer Communications(INFOCOM). Hong Kong, China, 2015: 15385390. DOI:10.1109/infocom.2015.7218418.
[8] Friedman R, Sainz D. An architecture for SDN based sensor networks[C]// Proceedings of the 18th International Conference on Distributed Computing and Networking. Hyderabad, India, 2017. DOI:10.1145/3007748.3007758.
[9] Kobo H I, Mahfouz A M, Hancke G P. A survey on software-defined wireless sensor networks: challenges and design requirements[J]. IEEE Access, 2017, 5: 1872-1899. DOI:10.1109/access.2017.2666200.
[10] Bizanis N, Kuipers F A. SDN and virtualization solutions for the Internet of things: A survey[J]. IEEE Access, 2016, 4: 5591-5606. DOI:10.1109/access.2016.2607786.
[11] Khan I, Belqasmi F, Glitho R, et al. Wireless sensor network virtualization: A survey[J]. IEEE Communications Surveys & Tutorials, 2015, 18(1): 553-576. DOI:10.1109/comst.2015.2412971.
[12] Senouci M R, Mellouk A, Asnoune K, et al. Movement-assisted sensor deployment algorithms: A survey and taxonomy[J]. IEEE Communications Surveys and Tutorials, 2015, 17(4): 2493-2510. DOI:10.1109/comst.2015.2407954.
[13] Fletcher G, Li X, Nayak A, et al. Randomized robot-assisted relocation of sensors for coverage repair in wireless sensor networks[C]//2010 IEEE 72nd Vehicular Technology Conference Fall. Ottawa, ON, Canada, 2010. DOI: 10.1109/VETECF.2010.5594513.
[14] Senouci M R, Mellouk A, Assnoune K. Localized movement-assisted sensor deployment algorithm for holedetection and healing[J]. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(5): 1267-1277. DOI:10.1109/tpds.2013.137.
[15] Li M, Li Z, Vasilakos A V. A survey on topology control in wireless sensor networks: Taxonomy, comparative study, and open issues[J]. Proceedings of the IEEE, 2013, 101(12): 2538-2557. DOI:10.1109/jproc.2013.2257631.
[16] Ramanathan R, Rosales-Hain R. Topology control of multihop wireless networks using transmit power adjustment[C]//IEEE INFOCOM 2000. Aviv, Israel, 2000: 404-413.
[17] Yin H H, Ding C, Yan F, et al. A robot-assisted topology control algorithm in software-defined sensor networks[C]//2017 9th International Conference on Wireless Communications and Signal Processing(WCSP). Nanjing, China, 2017. DOI:10.1109/wcsp.2017.8171086.
[18] Soleimani M, Bhuiyan M M, MacGregor M H, et al. RF channel modeling and multi-hop routing for wireless sensor networks located on oil rigs[J]. IET Wireless Sensor Systems, 2016, 6(5): 173-179. DOI:10.1049/iet-wss.2015.0096.


Biographies: Yin Haohao(1991—), male, graduate; Shen Lianfeng(corresponding author), male, professor, lfshen@seu.edu.cn.
Foundation item: The National Natural Science Foundations of China(No.61471164, 61601122).
Citation: Yin Haohao, Ding Cui, Yan Feng, et al.A movement-assisted software-defined sensor network with NFV support[J].Journal of Southeast University(English Edition), 2018, 34(2):156-165.DOI:10.3969/j.issn.1003-7985.2018.02.003.
Last Update: 2018-06-20