Skip to main content
Top
Published in: Peer-to-Peer Networking and Applications 5/2021

13-04-2021

Trust based task offloading scheme in UAV-enhanced edge computing network

Authors: Yan Ouyang, Wei Liu, Qiang Yang, Xingliang Mao, Fangfang Li

Published in: Peer-to-Peer Networking and Applications | Issue 5/2021

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Unmanned Aerial Vehicle (UAV) with a server which has powerful computing ability can fly over Internet of Thing (IoT) devices and conduct task offloading, giving rise to the so-called UAV-enhanced edge computing network. However, energy efficient and trustworthy UAV-enhanced edge computing is still a challenging issue. In this paper, a UAV-Trust based Task Offloading (UAV-TTO) scheme is proposed to offload tasks in an energy efficient and reliable way for IoT devices. The main innovations are as follows: (1) A Cluster based Task Offloading (CTO) approach is proposed in which tasks only need to route to any IoT devices within a cluster. The disadvantage of long flight distance and large energy consumption for UAV in traditional method can be overcame. Besides, the CTO approach avoids the far routing distance to the cluster head and the excessive data load. (2) A Traceback based Trust Evaluation (TTE) mechanism is proposed to evaluate the trust of devices. In this mechanism, the UAV can collect the task forwarding information provided by IoT devices when flying over the cluster. Then, we conduct a trust evaluation and reasoning mechanism according to the trust evidence collected to obtain more accurate evaluation results. IoT devices with high trustfulness will be selected to participate in task offloading, malicious devices will be excluded, so the efficiency of task offloading can be significantly improved. The UAV trajectory optimization strategy is also proposed to assist task offloading by considering trust and energy consumption. Extensive experimental results demonstrate that the proposed UAV-TTO scheme can reduce the total energy consumption for accomplishing the tasks effectively, evaluate the trust of IoT devices accurately and improve the success rate of task offloading.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Guo H, Liu J (2020) UAV-enhanced intelligent offloading for internet of things at the edge. IEEE Transactions on Industrial Informatics 16(4):2737–2746CrossRef Guo H, Liu J (2020) UAV-enhanced intelligent offloading for internet of things at the edge. IEEE Transactions on Industrial Informatics 16(4):2737–2746CrossRef
6.
go back to reference Li F, Huang G, Yang Q, Xie M (2021) Adaptive contention window MAC protocol in a global view for emerging trends networks. IEEE ACCESS 9(1):18402–18423CrossRef Li F, Huang G, Yang Q, Xie M (2021) Adaptive contention window MAC protocol in a global view for emerging trends networks. IEEE ACCESS 9(1):18402–18423CrossRef
7.
go back to reference Lyu F, Zhu H, Cheng N (2019) Characterizing urban vehicle-to-vehicle communications for reliable safety applications. IEEE Trans Intell Transp Syst 21(6):2586–2602CrossRef Lyu F, Zhu H, Cheng N (2019) Characterizing urban vehicle-to-vehicle communications for reliable safety applications. IEEE Trans Intell Transp Syst 21(6):2586–2602CrossRef
8.
go back to reference Teng H, Dong M, Liu Y, Tian W, Liu X (2021) A low-cost physical location discovery scheme for large-scale internet of things in smart city through joint use of vehicles and UAVs. Futur Gener Comput Syst 118:310–326CrossRef Teng H, Dong M, Liu Y, Tian W, Liu X (2021) A low-cost physical location discovery scheme for large-scale internet of things in smart city through joint use of vehicles and UAVs. Futur Gener Comput Syst 118:310–326CrossRef
9.
go back to reference Huang W, Ota K, Dong M, Wang T, Zhang S, Zhang J (2020) Result return aware offloading scheme in vehicular edge networks for 6G driving application. Comput Commun 164:201–214CrossRef Huang W, Ota K, Dong M, Wang T, Zhang S, Zhang J (2020) Result return aware offloading scheme in vehicular edge networks for 6G driving application. Comput Commun 164:201–214CrossRef
10.
go back to reference Zhang Y, Lan X, Ren J, Cai L (2020) Efficient computing resource sharing for Mobile edge-cloud computing networks. IEEE/ACM Trans Networking 28(3):1227–1240CrossRef Zhang Y, Lan X, Ren J, Cai L (2020) Efficient computing resource sharing for Mobile edge-cloud computing networks. IEEE/ACM Trans Networking 28(3):1227–1240CrossRef
11.
go back to reference Li A, Liu W, Zhang S, Xie M (2020) Fast multicast with adjusting transmission power and active slots in software define IoT. IEEE ACCEESS 8(1):226352–226369CrossRef Li A, Liu W, Zhang S, Xie M (2020) Fast multicast with adjusting transmission power and active slots in software define IoT. IEEE ACCEESS 8(1):226352–226369CrossRef
13.
go back to reference Wang J, Wang F, Wang Y, Wang L, Qiu Z, Zhang D, Guo B, Lv Q (2020) HyTasker: hybrid task allocation in Mobile crowd sensing. IEEE Trans Mob Comput 19(3):598–611CrossRef Wang J, Wang F, Wang Y, Wang L, Qiu Z, Zhang D, Guo B, Lv Q (2020) HyTasker: hybrid task allocation in Mobile crowd sensing. IEEE Trans Mob Comput 19(3):598–611CrossRef
14.
go back to reference Xu Q, Su Z, Dai M, Yu S (2020) APIS: privacy-preserving incentive for sensing task allocation in cloud and edge-cooperation Mobile internet of things with SDN. IEEE Internet Things J 7(7):5892–5905CrossRef Xu Q, Su Z, Dai M, Yu S (2020) APIS: privacy-preserving incentive for sensing task allocation in cloud and edge-cooperation Mobile internet of things with SDN. IEEE Internet Things J 7(7):5892–5905CrossRef
15.
go back to reference Liang W, Huang W, Long J, Zhang K, Li K-C, Zhang D (2020) Deep reinforcement learning for resource protection and real-time detection in IoT environment. IEEE Internet Things J 7(7):6392–6401CrossRef Liang W, Huang W, Long J, Zhang K, Li K-C, Zhang D (2020) Deep reinforcement learning for resource protection and real-time detection in IoT environment. IEEE Internet Things J 7(7):6392–6401CrossRef
16.
go back to reference Wang T, Luo H, Zheng X, Xie M (2019) Crowdsourcing mechanism for trust evaluation in CPCS based on intelligent mobile edge computing. ACM Trans Intell Syst Technol 10(6):1–19CrossRef Wang T, Luo H, Zheng X, Xie M (2019) Crowdsourcing mechanism for trust evaluation in CPCS based on intelligent mobile edge computing. ACM Trans Intell Syst Technol 10(6):1–19CrossRef
18.
go back to reference Mo W, Wang T, Zhang S, Zhang J (2020) An active and verifiable trust evaluation approach for edge computing. Journal of Cloud Computing 9(1):1–19 Mo W, Wang T, Zhang S, Zhang J (2020) An active and verifiable trust evaluation approach for edge computing. Journal of Cloud Computing 9(1):1–19
19.
go back to reference Zhuo C, Luo S, Gan H, Hu J, Shi Z (2020) Noise-aware DVFS for efficient transitions on battery-powered IoT devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39(7):1498–1510CrossRef Zhuo C, Luo S, Gan H, Hu J, Shi Z (2020) Noise-aware DVFS for efficient transitions on battery-powered IoT devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39(7):1498–1510CrossRef
25.
go back to reference Ma R, Cao J, Feng D, Li H (2019) LAA: lattice-based access authentication scheme for IoT in space information networks. IEEE Internet Things J 7(4):2791–2805CrossRef Ma R, Cao J, Feng D, Li H (2019) LAA: lattice-based access authentication scheme for IoT in space information networks. IEEE Internet Things J 7(4):2791–2805CrossRef
26.
go back to reference Ferrari A, Virgillito E, Curri V (2020) Band-division vs. space-division multiplexing: a network performance statistical assessment. J Lightwave Technol 38(5):1041–1049CrossRef Ferrari A, Virgillito E, Curri V (2020) Band-division vs. space-division multiplexing: a network performance statistical assessment. J Lightwave Technol 38(5):1041–1049CrossRef
27.
go back to reference Kato N, Fadlullah ZM, Tang F, Mao B (2019) Optimizing space-air-ground integrated networks by artificial intelligence. IEEE Wirel Commun 26(4):140–147CrossRef Kato N, Fadlullah ZM, Tang F, Mao B (2019) Optimizing space-air-ground integrated networks by artificial intelligence. IEEE Wirel Commun 26(4):140–147CrossRef
28.
go back to reference Liu J, Shi Y, Fadlullah ZM, Kato N (2018) Space-air-ground integrated network: a survey. IEEE Communications Surveys & Tutorials 20(4):2714–2741CrossRef Liu J, Shi Y, Fadlullah ZM, Kato N (2018) Space-air-ground integrated network: a survey. IEEE Communications Surveys & Tutorials 20(4):2714–2741CrossRef
32.
go back to reference Ren Y, Zeng Z, Wang T, Zhang S, Zhi G (2020) A trust-based minimum cost and quality aware data collection scheme in P2P network. Peer-to-Peer Networking and Applications 13(6):2300–2323CrossRef Ren Y, Zeng Z, Wang T, Zhang S, Zhi G (2020) A trust-based minimum cost and quality aware data collection scheme in P2P network. Peer-to-Peer Networking and Applications 13(6):2300–2323CrossRef
33.
go back to reference Li T, Liu A, Xiong N (2020) A trustworthiness-based vehicular recruitment scheme for information collections in distributed networked systems. Inf Sci 545:65–81MathSciNetCrossRef Li T, Liu A, Xiong N (2020) A trustworthiness-based vehicular recruitment scheme for information collections in distributed networked systems. Inf Sci 545:65–81MathSciNetCrossRef
36.
go back to reference Wang G, Lee B, Ahn J, Cho G (2020) A UAV-assisted CH election framework for secure data collection in wireless sensor networks. Futur Gener Comput Syst 102:152–162CrossRef Wang G, Lee B, Ahn J, Cho G (2020) A UAV-assisted CH election framework for secure data collection in wireless sensor networks. Futur Gener Comput Syst 102:152–162CrossRef
38.
go back to reference Liu Y, Wang T, Zhang S, Liu X, Liu X (2020) Artificial intelligence aware and security-enhanced trace-back technique in Mobile edge computing. Comput Commun 161:375–386CrossRef Liu Y, Wang T, Zhang S, Liu X, Liu X (2020) Artificial intelligence aware and security-enhanced trace-back technique in Mobile edge computing. Comput Commun 161:375–386CrossRef
39.
go back to reference Liu C, Liu K, Guo S, Xie R, Son SH (2020) Adaptive offloading for time-critical tasks in heterogeneous internet of vehicles. IEEE Internet Things J 9(9):7999–8011CrossRef Liu C, Liu K, Guo S, Xie R, Son SH (2020) Adaptive offloading for time-critical tasks in heterogeneous internet of vehicles. IEEE Internet Things J 9(9):7999–8011CrossRef
40.
go back to reference Sonkoly B, Haja D, Németh B, Szalay M (2020) Scalable edge cloud platforms for IoT services. J Netw Comput Appl 170:102785CrossRef Sonkoly B, Haja D, Németh B, Szalay M (2020) Scalable edge cloud platforms for IoT services. J Netw Comput Appl 170:102785CrossRef
41.
go back to reference Jiang J, Han G, Wang F, Shu L, Guizani M (2015) An efficient distributed trust model for wireless sensor networks. IEEE transactions on parallel and distributed systems 26(5):1228–1237CrossRef Jiang J, Han G, Wang F, Shu L, Guizani M (2015) An efficient distributed trust model for wireless sensor networks. IEEE transactions on parallel and distributed systems 26(5):1228–1237CrossRef
42.
go back to reference Liu CF, Bennis M, Debbah M, Poor HV (2018) Dynamic task offloading and resource allocation for ultra-reliable low-latency edge computing. IEEE Trans Commun 67(6):4132–4150CrossRef Liu CF, Bennis M, Debbah M, Poor HV (2018) Dynamic task offloading and resource allocation for ultra-reliable low-latency edge computing. IEEE Trans Commun 67(6):4132–4150CrossRef
43.
go back to reference Liu A, Liu X, Tang Z (2017) Preserving smart sink-location privacy with delay guaranteed routing scheme for WSNs. ACM Trans Embed Comput Syst 16(3):68 Liu A, Liu X, Tang Z (2017) Preserving smart sink-location privacy with delay guaranteed routing scheme for WSNs. ACM Trans Embed Comput Syst 16(3):68
45.
go back to reference Li T, Ota K, Wang T, Li X, Cai Z, Liu A (2019) Optimizing the coverage via the UAVs with lower costs for information-centric internet of things. IEEE ACCESS 7:15292-15309. 10. 1109/ACCESS.2019.2894172 Li T, Ota K, Wang T, Li X, Cai Z, Liu A (2019) Optimizing the coverage via the UAVs with lower costs for information-centric internet of things. IEEE ACCESS 7:15292-15309. 10. 1109/ACCESS.2019.2894172
46.
go back to reference Zeng Y, Zhang R (2017) Energy-efficient UAV communication with trajectory optimization. IEEE Trans Wirel Commun 16(6):3747–3760CrossRef Zeng Y, Zhang R (2017) Energy-efficient UAV communication with trajectory optimization. IEEE Trans Wirel Commun 16(6):3747–3760CrossRef
47.
go back to reference Jiang J, Han G, Wang F, Shu L, Guizani M (2015) An efficient distributed trust model for wireless sensor networks. IEEE transactions on parallel and distributed systems 26(5):1228–1237CrossRef Jiang J, Han G, Wang F, Shu L, Guizani M (2015) An efficient distributed trust model for wireless sensor networks. IEEE transactions on parallel and distributed systems 26(5):1228–1237CrossRef
49.
go back to reference Lyu F, Wu F, Zhang Y, Xin J, Zhu X (2020) Virtualized and micro services provisioning in space-air-ground integrated networks. IEEE Wirel Commun 27(6):68–74CrossRef Lyu F, Wu F, Zhang Y, Xin J, Zhu X (2020) Virtualized and micro services provisioning in space-air-ground integrated networks. IEEE Wirel Commun 27(6):68–74CrossRef
50.
go back to reference Wu H, Lyu F, Zhou C (2020) Optimal UAV caching and trajectory in aerial-assisted vehicular networks: a learning-based approach. IEEE Journal on Selected Areas in Communications 38(12):2783–2797CrossRef Wu H, Lyu F, Zhou C (2020) Optimal UAV caching and trajectory in aerial-assisted vehicular networks: a learning-based approach. IEEE Journal on Selected Areas in Communications 38(12):2783–2797CrossRef
Metadata
Title
Trust based task offloading scheme in UAV-enhanced edge computing network
Authors
Yan Ouyang
Wei Liu
Qiang Yang
Xingliang Mao
Fangfang Li
Publication date
13-04-2021
Publisher
Springer US
Published in
Peer-to-Peer Networking and Applications / Issue 5/2021
Print ISSN: 1936-6442
Electronic ISSN: 1936-6450
DOI
https://doi.org/10.1007/s12083-021-01137-y

Other articles of this Issue 5/2021

Peer-to-Peer Networking and Applications 5/2021 Go to the issue

Premium Partner