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Erschienen in: Peer-to-Peer Networking and Applications 4/2020

24.08.2019

RETRACTED ARTICLE: Delay sensitive aware distributed data fault recognition algorithm for distributed sensor networks

verfasst von: J. Kirubakaran, G. K. D. Prasanna Venkatesan, K. Sampath Kumar, S. Dhanabal, K. Baskar

Erschienen in: Peer-to-Peer Networking and Applications | Ausgabe 4/2020

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Abstract

In the recent past, DistributedSensor Network (DSN) placed a significant role in diverse application that benefits to transmit the information from one location to another location. During the data transmission procedure, the network exploits numerous characteristics such as energy harvesting, resilience, scalability, Delay, Life time, Throughput and Packet Delivery Ratio (PDR). The effective utilization characteristics benefits to improve the complete information transmission progression. Even though the network transmits the information effectually, the network faces numerous disputes such as network failure, node failure, lifetime issues, Throughput, delay, PDR and power consumption problem. These issues are affecting the entire data or information transmission efficiency. In addition to this, selection of path also generate problems that leads to create the security issues because the wrong path selection affects network lifetime as well chances to access the information by unauthorized access. To address these issues Delay Sensitive Aware Distributed Data fault Recognition algorithm (DSA-DDFRA) is proposed with the major objective is to manage the network lifetime, faults and choosing optimized path while making the information transaction. The algorithm is experimentally validated for optimized parameter such as Error Rate, network lifetime, delay, energy, throughput and PDR.

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Literatur
1.
Zurück zum Zitat Kapourchali MH, Sepehry M, Aravinthan V (2018) Fault detector and switch placement in cyber-enabled power distribution network. IEEE Transactions on Smart Grid 9(2):980–992CrossRef Kapourchali MH, Sepehry M, Aravinthan V (2018) Fault detector and switch placement in cyber-enabled power distribution network. IEEE Transactions on Smart Grid 9(2):980–992CrossRef
3.
Zurück zum Zitat Muhammed T, Shaikh RA (2017) An analysis of fault detection strategies in wireless sensor networks. J Netw Comput Appl 78:267–287CrossRef Muhammed T, Shaikh RA (2017) An analysis of fault detection strategies in wireless sensor networks. J Netw Comput Appl 78:267–287CrossRef
4.
Zurück zum Zitat Menaria VK, Jain SC, Nagaraju A (2017) A fault tolerance based data aggregation and route optimization using swarm intelligence approach in wireless sensor networks. International Journal of Computer Engineering and Applications 11(8):31–51 Menaria VK, Jain SC, Nagaraju A (2017) A fault tolerance based data aggregation and route optimization using swarm intelligence approach in wireless sensor networks. International Journal of Computer Engineering and Applications 11(8):31–51
5.
Zurück zum Zitat Salayma M, Al-Dubai A, Romdhani I, Nasser Y (2017) Wireless body area network (WBAN): a survey on reliability, fault tolerance, and technologies coexistence. ACM Computing Surveys (CSUR) 50(1):3 Salayma M, Al-Dubai A, Romdhani I, Nasser Y (2017) Wireless body area network (WBAN): a survey on reliability, fault tolerance, and technologies coexistence. ACM Computing Surveys (CSUR) 50(1):3
6.
Zurück zum Zitat Hasanov, K., Lemarinier, P., Rafique, M. M., &Venugopal, S. (2018). U.S. patent application no. 15/331,281 Hasanov, K., Lemarinier, P., Rafique, M. M., &Venugopal, S. (2018). U.S. patent application no. 15/331,281
7.
Zurück zum Zitat Preeth, S.K.S.L., Dhanalakshmi, R., Kumar, R.,Shakeel PM. (2018). An adaptive fuzzy rule based energy efficient clustering and immune-inspired routing protocol for WSN-assisted IoT system. Journal of Ambient Intelligence and Humanized Computing,1–13. https://doi.org/10.1007/s12652-018-1154-z Preeth, S.K.S.L., Dhanalakshmi, R., Kumar, R.,Shakeel PM. (2018). An adaptive fuzzy rule based energy efficient clustering and immune-inspired routing protocol for WSN-assisted IoT system. Journal of Ambient Intelligence and Humanized Computing,1–13. https://​doi.​org/​10.​1007/​s12652-018-1154-z
8.
Zurück zum Zitat Manogaran G, Varatharajan R, Lopez D, Kumar PM, Sundarasekar R, Thota C (2018) A new architecture of internet of things and big data ecosystem for secured smart healthcare monitoring and alerting system. Futur Gener Comput Syst 82:375–387CrossRef Manogaran G, Varatharajan R, Lopez D, Kumar PM, Sundarasekar R, Thota C (2018) A new architecture of internet of things and big data ecosystem for secured smart healthcare monitoring and alerting system. Futur Gener Comput Syst 82:375–387CrossRef
9.
Zurück zum Zitat He W, Qiao PL, Zhou ZJ, Hu GY, Feng ZC, Wei H (2018) A new belief-rule-based method for fault diagnosis of wireless sensor network. IEEE Access 6:9404–9419CrossRef He W, Qiao PL, Zhou ZJ, Hu GY, Feng ZC, Wei H (2018) A new belief-rule-based method for fault diagnosis of wireless sensor network. IEEE Access 6:9404–9419CrossRef
10.
Zurück zum Zitat Feiyue Y, Yang T, Siqing Z, Jianjian D, Juan X, Yao H (2018) A faulty node detection algorithm based on spatial-temporal cooperation in wireless sensor networks. Procedia computer science 131:1089–1094CrossRef Feiyue Y, Yang T, Siqing Z, Jianjian D, Juan X, Yao H (2018) A faulty node detection algorithm based on spatial-temporal cooperation in wireless sensor networks. Procedia computer science 131:1089–1094CrossRef
11.
Zurück zum Zitat Al-Turjman, F., &Alturjman, S. (2018). 5G/IoT-enabled UAVs for multimedia delivery in industry-oriented applications. Multimedia Tools and Applications, 1-22 Al-Turjman, F., &Alturjman, S. (2018). 5G/IoT-enabled UAVs for multimedia delivery in industry-oriented applications. Multimedia Tools and Applications, 1-22
12.
Zurück zum Zitat Dahiya, B. P., Rani, S., & Singh, P. (2018). Performance analysis of swarm intelligence techniques to improve lifetime of wireless sensor networks Dahiya, B. P., Rani, S., & Singh, P. (2018). Performance analysis of swarm intelligence techniques to improve lifetime of wireless sensor networks
13.
Zurück zum Zitat Sharma, S., &Mathur, H. (2018). A survey on best path selection approaches in Mobile ad-hoc network Sharma, S., &Mathur, H. (2018). A survey on best path selection approaches in Mobile ad-hoc network
14.
Zurück zum Zitat Maurya, R., &Jatav, M. L. (2019). A Review of Wireless Sensor Network Based on Energy Minimization Algorithms Maurya, R., &Jatav, M. L. (2019). A Review of Wireless Sensor Network Based on Energy Minimization Algorithms
15.
Zurück zum Zitat Han G, Yang X, Liu L, Zhang W (2018) A joint energy replenishment and data collection algorithm in wireless rechargeable sensor networks. IEEE Internet Things J 5(4):2596–2604CrossRef Han G, Yang X, Liu L, Zhang W (2018) A joint energy replenishment and data collection algorithm in wireless rechargeable sensor networks. IEEE Internet Things J 5(4):2596–2604CrossRef
16.
Zurück zum Zitat Deshmukh, S., Patil, A. B., & Nakade, H. (2018). Implementation of effective key management strategy with secure data aggregation in dynamic wireless sensor network Deshmukh, S., Patil, A. B., & Nakade, H. (2018). Implementation of effective key management strategy with secure data aggregation in dynamic wireless sensor network
17.
Zurück zum Zitat Neamatollahi P, Naghibzadeh M, Abrishami S, Yaghmaee MH (2018) Distributed clustering-task scheduling for wireless sensor networks using dynamic hyper round policy. IEEE Trans Mob Comput 17(2):334–347CrossRef Neamatollahi P, Naghibzadeh M, Abrishami S, Yaghmaee MH (2018) Distributed clustering-task scheduling for wireless sensor networks using dynamic hyper round policy. IEEE Trans Mob Comput 17(2):334–347CrossRef
18.
Zurück zum Zitat Tan J, Liu A, Zhao M, Shen H, Ma M (2018) Cross-layer design for reducing delay and maximizing lifetime in industrial wireless sensor networks. EURASIP J Wirel Commun Netw 2018(1):50CrossRef Tan J, Liu A, Zhao M, Shen H, Ma M (2018) Cross-layer design for reducing delay and maximizing lifetime in industrial wireless sensor networks. EURASIP J Wirel Commun Netw 2018(1):50CrossRef
19.
Zurück zum Zitat Tamada Y (2018) Memory efficient parallel algorithm for optimal DAG structure search using direct communication. Journal of Parallel and Distributed Computing 119:27–35CrossRef Tamada Y (2018) Memory efficient parallel algorithm for optimal DAG structure search using direct communication. Journal of Parallel and Distributed Computing 119:27–35CrossRef
20.
Zurück zum Zitat Luo J, Ni J, Liu Z (2019) Distributed decision fusion under nonideal communication channels with adaptive topology. Information Fusion 45:190–201CrossRef Luo J, Ni J, Liu Z (2019) Distributed decision fusion under nonideal communication channels with adaptive topology. Information Fusion 45:190–201CrossRef
21.
Zurück zum Zitat Biswas S, Das R, Chatterjee P (2018) Energy-efficient connected target coverage in multi-hop wireless sensor networks, In industry interactive innovations in science, engineering and technology (pp. 411–421). Springer, SingaporeCrossRef Biswas S, Das R, Chatterjee P (2018) Energy-efficient connected target coverage in multi-hop wireless sensor networks, In industry interactive innovations in science, engineering and technology (pp. 411–421). Springer, SingaporeCrossRef
22.
Zurück zum Zitat Runeson P (2019) Open collaborative data-using OSS principles to share data in SW engineering. In: In 41st international conference on software engineering (ICSE), 2019. Society, IEEE Computer Runeson P (2019) Open collaborative data-using OSS principles to share data in SW engineering. In: In 41st international conference on software engineering (ICSE), 2019. Society, IEEE Computer
24.
Zurück zum Zitat Babayo AA, Anisi MH, Ali I (2017) A review on energy management schemes in energy harvesting wireless sensor networks. Renew Sust Energ Rev 76:1176–1184CrossRef Babayo AA, Anisi MH, Ali I (2017) A review on energy management schemes in energy harvesting wireless sensor networks. Renew Sust Energ Rev 76:1176–1184CrossRef
25.
Zurück zum Zitat Wei, J., Gibson, G. A., Gibbons, P. B., & Xing, E. P. (2019, March). Automating Dependence-Aware Parallelization of Machine Learning Training on Distributed Shared Memory. In Proceedings of the Fourteenth EuroSys Conference 2019 (p. 42) Wei, J., Gibson, G. A., Gibbons, P. B., & Xing, E. P. (2019, March). Automating Dependence-Aware Parallelization of Machine Learning Training on Distributed Shared Memory. In Proceedings of the Fourteenth EuroSys Conference 2019 (p. 42)
27.
Zurück zum Zitat Bhuiyan MZA, Wang G, Wu J, Cao J, Liu X, Wang T (2017) Dependable structural health monitoring using wireless sensor networks. IEEE Transactions on Dependable and Secure Computing 14(4):363–376CrossRef Bhuiyan MZA, Wang G, Wu J, Cao J, Liu X, Wang T (2017) Dependable structural health monitoring using wireless sensor networks. IEEE Transactions on Dependable and Secure Computing 14(4):363–376CrossRef
28.
Zurück zum Zitat Zhang Z, Mehmood A, Shu L, Huo Z, Zhang Y, Mukherjee M (2018) A survey on fault diagnosis in wireless sensor networks. IEEE Access 6:11349–11364CrossRef Zhang Z, Mehmood A, Shu L, Huo Z, Zhang Y, Mukherjee M (2018) A survey on fault diagnosis in wireless sensor networks. IEEE Access 6:11349–11364CrossRef
30.
Zurück zum Zitat Elappila M, Chinara S, Parhi DR (2018) Survivable path routing in WSN for IoT applications. Pervasive and Mobile Computing 43:49–63CrossRef Elappila M, Chinara S, Parhi DR (2018) Survivable path routing in WSN for IoT applications. Pervasive and Mobile Computing 43:49–63CrossRef
Metadaten
Titel
RETRACTED ARTICLE: Delay sensitive aware distributed data fault recognition algorithm for distributed sensor networks
verfasst von
J. Kirubakaran
G. K. D. Prasanna Venkatesan
K. Sampath Kumar
S. Dhanabal
K. Baskar
Publikationsdatum
24.08.2019
Verlag
Springer US
Erschienen in
Peer-to-Peer Networking and Applications / Ausgabe 4/2020
Print ISSN: 1936-6442
Elektronische ISSN: 1936-6450
DOI
https://doi.org/10.1007/s12083-019-00804-5

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