IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v181y2007i1p390-402.html
   My bibliography  Save this article

Maximizing system lifetime in wireless sensor networks

Author

Listed:
  • Alfieri, A.
  • Bianco, A.
  • Brandimarte, P.
  • Chiasserini, C.F.

Abstract

No abstract is available for this item.

Suggested Citation

  • Alfieri, A. & Bianco, A. & Brandimarte, P. & Chiasserini, C.F., 2007. "Maximizing system lifetime in wireless sensor networks," European Journal of Operational Research, Elsevier, vol. 181(1), pages 390-402, August.
  • Handle: RePEc:eee:ejores:v:181:y:2007:i:1:p:390-402
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(06)00425-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cynthia Barnhart & Ellis L. Johnson & George L. Nemhauser & Martin W. P. Savelsbergh & Pamela H. Vance, 1998. "Branch-and-Price: Column Generation for Solving Huge Integer Programs," Operations Research, INFORMS, vol. 46(3), pages 316-329, June.
    2. Irvin J. Lustig & Jean-François Puget, 2001. "Program Does Not Equal Program: Constraint Programming and Its Relationship to Mathematical Programming," Interfaces, INFORMS, vol. 31(6), pages 29-53, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cerulli, R. & De Donato, R. & Raiconi, A., 2012. "Exact and heuristic methods to maximize network lifetime in wireless sensor networks with adjustable sensing ranges," European Journal of Operational Research, Elsevier, vol. 220(1), pages 58-66.
    2. Castaño, Fabian & Bourreau, Eric & Velasco, Nubia & Rossi, André & Sevaux, Marc, 2015. "Exact approaches for lifetime maximization in connectivity constrained wireless multi-role sensor networks," European Journal of Operational Research, Elsevier, vol. 241(1), pages 28-38.
    3. Li, Xiangyong & Aneja, Y.P. & Huo, Jiazhen, 2012. "A robust branch-and-cut approach for the minimum-energy symmetric network connectivity problem," Omega, Elsevier, vol. 40(2), pages 210-217, April.
    4. Rossi, André & Singh, Alok & Sevaux, Marc, 2013. "Lifetime maximization in wireless directional sensor network," European Journal of Operational Research, Elsevier, vol. 231(1), pages 229-241.
    5. Xiaojun Zhu & Guihai Chen & Shaojie Tang & Xiaobing Wu & Bing Chen, 2016. "Fast Approximation Algorithm for Maximum Lifetime Aggregation Trees in Wireless Sensor Networks," INFORMS Journal on Computing, INFORMS, vol. 28(3), pages 417-431, August.
    6. Luo, Wenchang & Gu, Boyuan & Lin, Guohui, 2018. "Communication scheduling in data gathering networks of heterogeneous sensors with data compression: Algorithms and empirical experiments," European Journal of Operational Research, Elsevier, vol. 271(2), pages 462-473.
    7. Y B Türkoğulları & N Aras & İ K Altınel & C Ersoy, 2010. "Optimal placement, scheduling, and routing to maximize lifetime in sensor networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(6), pages 1000-1012, June.
    8. TürkogullarI, Yavuz B. & Aras, Necati & AltInel, I. Kuban & Ersoy, Cem, 2010. "A column generation based heuristic for sensor placement, activity scheduling and data routing in wireless sensor networks," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1014-1026, December.
    9. Berlińska, Joanna, 2015. "Scheduling for data gathering networks with data compression," European Journal of Operational Research, Elsevier, vol. 246(3), pages 744-749.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maenhout, Broos & Vanhoucke, Mario, 2010. "A hybrid scatter search heuristic for personalized crew rostering in the airline industry," European Journal of Operational Research, Elsevier, vol. 206(1), pages 155-167, October.
    2. Hoogervorst, R. & Dollevoet, T.A.B. & Maróti, G. & Huisman, D., 2018. "Reducing Passenger Delays by Rolling Stock Rescheduling," Econometric Institute Research Papers EI2018-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Lentink, R.M. & Fioole, P-J. & Kroon, L.G. & van 't Woudt, C., 2003. "Applying Operations Research techniques to planning of train shunting," ERIM Report Series Research in Management ERS-2003-094-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Omid Shahvari & Rasaratnam Logendran & Madjid Tavana, 2022. "An efficient model-based branch-and-price algorithm for unrelated-parallel machine batching and scheduling problems," Journal of Scheduling, Springer, vol. 25(5), pages 589-621, October.
    5. Theresa M. Roeder & Robert M. Saltzman, 2014. "Schedule-Based Group Assignment Using Constraint Programming," INFORMS Transactions on Education, INFORMS, vol. 14(2), pages 63-72, February.
    6. Gutiérrez-Jarpa, Gabriel & Desaulniers, Guy & Laporte, Gilbert & Marianov, Vladimir, 2010. "A branch-and-price algorithm for the Vehicle Routing Problem with Deliveries, Selective Pickups and Time Windows," European Journal of Operational Research, Elsevier, vol. 206(2), pages 341-349, October.
    7. Baptiste, Philippe & Sadykov, Ruslan, 2010. "Time-indexed formulations for scheduling chains on a single machine: An application to airborne radars," European Journal of Operational Research, Elsevier, vol. 203(2), pages 476-483, June.
    8. Andreas Ernst & Houyuan Jiang & Mohan Krishnamoorthy, 2006. "Exact Solutions to Task Allocation Problems," Management Science, INFORMS, vol. 52(10), pages 1634-1646, October.
    9. Rostami, Borzou & Malucelli, Federico & Belotti, Pietro & Gualandi, Stefano, 2016. "Lower bounding procedure for the asymmetric quadratic traveling salesman problem," European Journal of Operational Research, Elsevier, vol. 253(3), pages 584-592.
    10. Renaud Chicoisne, 2023. "Computational aspects of column generation for nonlinear and conic optimization: classical and linearized schemes," Computational Optimization and Applications, Springer, vol. 84(3), pages 789-831, April.
    11. Fowler, John W. & Mönch, Lars, 2022. "A survey of scheduling with parallel batch (p-batch) processing," European Journal of Operational Research, Elsevier, vol. 298(1), pages 1-24.
    12. Amy Cohn & Michael Magazine & George Polak, 2009. "Rank‐Cluster‐and‐Prune: An algorithm for generating clusters in complex set partitioning problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(3), pages 215-225, April.
    13. Erwin Abbink & Matteo Fischetti & Leo Kroon & Gerrit Timmer & Michiel Vromans, 2005. "Reinventing Crew Scheduling at Netherlands Railways," Interfaces, INFORMS, vol. 35(5), pages 393-401, October.
    14. Barry C. Smith & Ellis L. Johnson, 2006. "Robust Airline Fleet Assignment: Imposing Station Purity Using Station Decomposition," Transportation Science, INFORMS, vol. 40(4), pages 497-516, November.
    15. Samuel Deleplanque & Martine Labbé & Diego Ponce & Justo Puerto, 2020. "A Branch-Price-and-Cut Procedure for the Discrete Ordered Median Problem," INFORMS Journal on Computing, INFORMS, vol. 32(3), pages 582-599, July.
    16. Ali, Agha Iqbal & O'Connor, Debra J., 2010. "The impact of distribution system characteristics on computational tractability," European Journal of Operational Research, Elsevier, vol. 200(2), pages 323-333, January.
    17. Bani, Abderrahman & El Hallaoui, Issmail & Corréa, Ayoub Insa & Tahir, Adil, 2023. "Solving a real-world multi-depot multi-period petrol replenishment problem with complex loading constraints," European Journal of Operational Research, Elsevier, vol. 311(1), pages 154-172.
    18. Robenek, Tomáš & Umang, Nitish & Bierlaire, Michel & Ropke, Stefan, 2014. "A branch-and-price algorithm to solve the integrated berth allocation and yard assignment problem in bulk ports," European Journal of Operational Research, Elsevier, vol. 235(2), pages 399-411.
    19. Ehrgott, Matthias & Tind, Jørgen, 2009. "Column generation with free replicability in DEA," Omega, Elsevier, vol. 37(5), pages 943-950, October.
    20. Yael Grushka-Cockayne & Bert De Reyck & Zeger Degraeve, 2008. "An Integrated Decision-Making Approach for Improving European Air Traffic Management," Management Science, INFORMS, vol. 54(8), pages 1395-1409, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:181:y:2007:i:1:p:390-402. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.