A Multi-objective Optimization Algorithm of Task Scheduling in WSN

Liang Dai, Hongke Xu, Ting Chen, Qian Chao, Lijing Xie


Sensing tasks should be allocated and processed among sensor nodes in minimum times so that users can draw useful conclusions through analyzing sensed data. Furthermore, finishing sensing task faster will benefit energy saving. The above needs form a contrast to the lower efficiency of task-performing caused by the  ailureprone sensor. To solve this problem, a multi-objective optimization algorithm of task scheduling is proposed for wireless sensor networks (MTWSN). This algorithm tries its best to make less makespan, but meanwhile, it also pay much more attention to the probability of task-performing and the lifetime of network. MTWSN avoids the task assigned to the failure-prone sensor, which effectively reducing the effect of failed nodes on task-performing. Simulation results show that the proposed algorithm can trade off these three objectives well. Compared with the traditional task scheduling algorithms, simulation experiments obtain better results.


Wireless Sensor Networks (WSN); task scheduling; multi-objective optimization; improved NSGA-II

Full Text:



Z. Zeng, A. Liu, D. Li (2008), A Highly Efficient DAG Task Scheduling Algorithm for Wireless Networks, In Proc. of ICYCS 2008,Zhang Jia Jie, Hunan, China, 570-575.

J. Lin, W. Xiao, F. L. Lewis (2009), Energy-Efficient Distributed Adaptive Multisensor Scheduling for Target Tracking in Wireless Sensor Networks. IEEE Transactions on Instrumentation and Measurement, 58(6):1886 - 1896.

L. Dai, Y. Chang, Z. Shen (2011), An Optimal Task Scheduling Algorithm in Wireless Sensor Networks, Int J Comput Commun, ISSN 1841-9836, 6(1):101-112.

K. Deb, A. Pratap, S. Agarwal (2002), A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2):182-197.

J. Mao, C. G. Cassandras, Q. Zhao (2007), Optimal Dynamic Voltage Scaling in Energy- Limited Nonpreemptive Systems with Real-Time Constraints. IEEE Transactions on Mobile Computing, 6(6):678 - 688.

P. Heemin, B. S. Mani (2003), Energy-efficient Task Assignment Framework for Wireless Sensor Netwoks, UC Los Angeles: The Berkeley Electronic Press.

M. Younis, K. Akkaya, A. Kunjithapatham (2003), Optimization of Task Allocation in a Cluster-based Sensor Network. In Proc. of the Eighth IEEE International Symposium on Computers and Communication, Netherlands: IEEE Computer Press, 329-334.

A. Wang, A. Chandrakasan (2002), Energy-efficient DSPs for Wireless Sensor Networks. IEEE Signal Processing Magazine, 19(4):68-78.

Y. Tian, J. Boangoat, E. Ekici (2006), Real-time Task Mapping and Scheduling for Collaborative In-network. In Proc. of the 20th International Parallel and Distributed Processing Symposium. Rhodes Island: IEEE Computer Press, 1-10.

Y. Tian, E. Ekici (2005), Energy-constrained Task Mapping and Scheduling in Wireless Sensor Networks. In Proc. of the Workshop on Resource Provisioning and Management in Sensor Networks. Washington, D C: IEEE Computer Society, 211-218, 2005.

Y. Yu, V. K. Prasanna (2005), Energy-balanced Task Allocation for Collaborative Processing in Wireless Sensor Networks. ACM/Kluwer Mobile Networks and Applications Journal, 10(1):115-131.

Y. Gu (2007), Real-time Multimedia Processing in Video Sensor Networks, Signal Processing: Image Communication, 22(3):237-251.

T. Xie, X. Qin (2008), An Energy-Delay Tunable Task Allocation Strategy for Collaborative Applications in Networked Embedded Systems. IEEE Transactions on Computers, 57(3):329-343.

I. S. Kulkarni, D. Pompili (2010), Task Allocation for Networked Autonomous Underwater Vehicles in Critical Missions. IEEE Journal on Selected Areas in Communications, 28(5):716- 727.

C. M. Fonseca, P. J. Fleming (1993), Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization, In Genetic Algorithms: Proceedings of the Fifth International Conference, San Mateo, CA: Morgan Kaufmann, 416-423.

R. L. Haupt, S. E. Haupt (2004), Practical Genetic Algorithms. John Wiley & Sons.

N. Srinivas, K. Deb (1995), Multiobjective optimization using nondominated sorting in genetic algorithms. Journal of Evolutionary Computation, 2(3):221-248.

DOI: https://doi.org/10.15837/ijccc.2014.2.1016

Copyright (c) 2017 Liang Dai, Hongke Xu, Ting Chen, Qian Chao, Lijing Xie

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

CC-BY-NC  License for Website User

Articles published in IJCCC user license are protected by copyright.

Users can access, download, copy, translate the IJCCC articles for non-commercial purposes provided that users, but cannot redistribute, display or adapt:

  • Cite the article using an appropriate bibliographic citation: author(s), article title, journal, volume, issue, page numbers, year of publication, DOI, and the link to the definitive published version on IJCCC website;
  • Maintain the integrity of the IJCCC article;
  • Retain the copyright notices and links to these terms and conditions so it is clear to other users what can and what cannot be done with the  article;
  • Ensure that, for any content in the IJCCC article that is identified as belonging to a third party, any re-use complies with the copyright policies of that third party;
  • Any translations must prominently display the statement: "This is an unofficial translation of an article that appeared in IJCCC. Agora University  has not endorsed this translation."

This is a non commercial license where the use of published articles for commercial purposes is forbiden. 

Commercial purposes include: 

  • Copying or downloading IJCCC articles, or linking to such postings, for further redistribution, sale or licensing, for a fee;
  • Copying, downloading or posting by a site or service that incorporates advertising with such content;
  • The inclusion or incorporation of article content in other works or services (other than normal quotations with an appropriate citation) that is then available for sale or licensing, for a fee;
  • Use of IJCCC articles or article content (other than normal quotations with appropriate citation) by for-profit organizations for promotional purposes, whether for a fee or otherwise;
  • Use for the purposes of monetary reward by means of sale, resale, license, loan, transfer or other form of commercial exploitation;

    The licensor cannot revoke these freedoms as long as you follow the license terms.

[End of CC-BY-NC  License for Website User]

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL (IJCCC), With Emphasis on the Integration of Three Technologies (C & C & C),  ISSN 1841-9836.

IJCCC was founded in 2006,  at Agora University, by  Ioan DZITAC (Editor-in-Chief),  Florin Gheorghe FILIP (Editor-in-Chief), and  Misu-Jan MANOLESCU (Managing Editor).

Ethics: This journal is a member of, and subscribes to the principles of, the Committee on Publication Ethics (COPE).

Ioan  DZITAC (Editor-in-Chief) at COPE European Seminar, Bruxelles, 2015:

IJCCC is covered/indexed/abstracted in Science Citation Index Expanded (since vol.1(S),  2006); JCR2018: IF=1.585..

IJCCC is indexed in Scopus from 2008 (CiteScore2018 = 1.56):

Nomination by Elsevier for Journal Excellence Award Romania 2015 (SNIP2014 = 1.029): Elsevier/ Scopus

IJCCC was nominated by Elsevier for Journal Excellence Award - "Scopus Awards Romania 2015" (SNIP2014 = 1.029).

IJCCC is in Top 3 of 157 Romanian journals indexed by Scopus (in all fields) and No.1 in Computer Science field by Elsevier/ Scopus.


 Impact Factor in JCR2018 (Clarivate Analytics/SCI Expanded/ISI Web of Science): IF=1.585 (Q3). Scopus: CiteScore2018=1.56 (Q2);

SCImago Journal & Country Rank

Editors-in-Chief: Ioan DZITAC & Florin Gheorghe FILIP.