A column generation heuristic for optimal wireless sensor network design with mobile sinks

European Journal of Operational Research

Volumn 260, Issue 1, 2017, Pages 291-304

  Keskin, Muhammed Emre ^a  

^a ATATÜRK UNIVERSITY   (Turkey)

Author keywords

Column generation; Computing science; Integer programing; Lagrangian relaxation; OR in telecommunications

Indexed keywords

GATEWAYS (COMPUTER NETWORKS); INTEGER PROGRAMMING;

COLUMN GENERATION; COMPUTING SCIENCE; INTEGER PROGRAMING; LAGRANGIAN RELAXATION; OR IN TELECOMMUNICATIONS;

WIRELESS SENSOR NETWORKS;

EID: 85009388529     PISSN: 03772217     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ejor.2016.12.006     Document Type: Article

References (46)

1. Alsalih, W., Akl, S., Hassanein, H., Placement of multiple mobile base stations in wireless sensor networks. Proceedings of the IEEE international symposium on signal processing and information technology, 2007, 229–233.
2. Altınel, İ.K., Aras, N., Güney, E., Ersoy, C., Binary integer programming formulation and heuristics for differentiated coverage in heterogeneous sensor networks. Computer Networks 52:12 (2008), 2419–2431.
3. Azad, A., Chockalingam, A., Mobile base stations placement and energy aware routing in wireless sensor networks. Proceedings of the IEEE wireless communications and networking conference, 1, 2006, 264–269.
4. Basagni, S., Boloni, L., Gjanci, P., Petrioli, C., Phillips, C.A., Turgut, D., Maximizing the value of sensed information in underwater wireless sensor networks via an autonomous underwater vehicle. Proceedings of the IEEE conference on computer communications, INFOCOM 2014, 2014, IEEE, 988–996.
5. Basagni, S., Carosi, A., Melachrinoudis, E., Petrioli, C., Wang, Z.M., Controlled sink mobility for prolonging wireless sensor networks lifetime. Wireless Networks 14:6 (2008), 831–858.
6. Basagni, S., Carosi, A., Petrioli, C., Phillips, C.A., Coordinated and controlled mobility of multiple sinks for maximizing the lifetime of wireless sensor networks. Wireless Networks 17:3 (2011), 759–778.
7. Behdani, B., Yun, Y.S., Cole Smith, J., Xia, Y., Decomposition algorithms for maximizing the lifetime of wireless sensor networks with mobile sinks. Computers and Operations Research 39:5 (2012), 1054–1061.
8. Castaño, F., Bourreau, E., Velasco, N., Rossi, A., Sevaux, M., Exact approaches for lifetime maximization in connectivity constrained wireless multi-role sensor networks. European Journal of Operational Research 241:1 (2015), 28–38.
9. Du Merle, O., Villeneuve, D., Desrosiers, J., Hansen, P., Stabilized column generation. Discrete Mathematics 194:1 (1999), 229–237.
10. Fisher, M.L., The Lagrangian relaxation method for solving integer programming problems. Management Science 27:1 (1981), 1–18.
11. Frangioni, A., Generalized bundle methods. SIAM Journal on Optimization 13:1 (2002), 117–156.
12. Gandham, S.R., Dawande, M., Prakash, R., Venkatesan, S., Energy efficient schemes for wireless sensor networks with multiple mobile base stations. Proceedings of the IEEE global telecommunications conference, 1, 2003, 377–381.
13. Gatzianas, M., Georgiadis, L., A distributed algorithm for maximum lifetime routing in sensor networks with mobile sink. IEEE Transactions on Wireless Communications 7:3 (2008), 984–994.
14. Güney, E., Aras, N., Altınel, İ.K., Ersoy, C., Efficient integer programming formulations for optimum sink location and routing in heterogeneous wireless sensor networks. Computer Networks 54:11 (2010), 1805–1822.
15. Güney, E., Aras, N., Altınel, İ.K., Ersoy, C., Efficient solution techniques for the integrated coverage, sink location and routing problem in wireless sensor networks. Computers and Operations Research 39:7 (2012), 1530–1539.
16. Gurobi Optimization, I., 2016. Gurobi optimizer reference manual, http://www.gurobi.com. (Accessed September 2016).
17. Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H., Energy-efficient communication protocol for wireless microsensor networks. Proceedings of the thirty third annual Hawaii international conference on system sciences, 2000, 10–19.
18. Institute, I.S., The network simulator, 2012, University of Southern California http://www.isi.edu/nsam/ns/.
19. Keskin, M.E., Controlled sink mobility and wireless sensor network lifetime maximization, 2014, University of Boğaziçi. Ph.D. thesis.
20. Keskin, M.E., Altınel, İ.K., Aras, N., Combining simulated annealing with Lagrangian relaxation and weighted Dantzig–Wolfe decomposition for integrated design decisions in wireless sensor networks. Computers and Operations Research 59 (2015), 132–143.
21. Keskin, M.E., Altınel, İ.K., Aras, N., Ersoy, C., Lifetime maximization in wireless sensor networks using a mobile sink with nonzero traveling time. The Computer Journal 54:12 (2011), 1987–1999.
22. Keskin, M.E., Altınel, İ.K., Aras, N., Ersoy, C., Wireless sensor network lifetime maximization by optimal sensor deployment, activity scheduling, data routing and sink mobility. Ad Hoc Networks 17 (2014), 18–36.
23. Keskin, M.E., Altınel, I.K., Aras, N., Ersoy, C., Wireless sensor network design by lifetime maximisation: An empirical evaluation of integrating major design issues and sink mobility. International Journal of Sensor Networks 20:3 (2016), 131–146.
24. Klose, A., Görtz, S., A branch-and-price algorithm for the capacitated facility location problem. European Journal of Operational Research 179:3 (2007), 1109–1125.
25. Lersteau, C., Rossi, A., Sevaux, M., Robust scheduling of wireless sensor networks for target tracking under uncertainty. European Journal of Operational Research 252:2 (2016), 407–417.
26. Levis, P., Lee, N., Welsh, M., Culler, D., Tossim: Accurate and scalable simulation of entire tiny OS applications. Proceedings of the first international conference on embedded networked sensor systems, 2003, 126–137.
27. Li, J., Mohapatra, P., Analytical modeling and mitigation techniques for the energy hole problem in sensor networks. Pervasive and Mobile Computing 3:3 (2007), 233–254.
28. Liang, W., Luo, J., Xu, X., Prolonging network lifetime via a controlled mobile sink in wireless sensor networks. Proceedings of the IEEE global telecommunications conference, 2010, 1–6.
29. Luo, J., Hubaux, J.-P., Joint mobility and routing for lifetime elongation in wireless sensor networks. Proceedings of the twenty fourth annual joint conference of the IEEE computer and communications societies, 3, 2005, 1735–1746.
30. Luo, J., Hubaux, J.-P., Joint sink mobility and routing to maximize the lifetime of wireless sensor networks: the case of constrained mobility. IEEE/ACM Transactions on Networking 18:3 (2010), 871–884.
31. Madan, R., Lall, S., Distributed algorithms for maximum lifetime routing in wireless sensor networks. IEEE Transactions on Wireless Communications 5:8 (2006), 2185–2193.
32. Martello, S., Pisinger, D., Toth, P., Dynamic programming and strong bounds for the 0–1 knapsack problem. Management Science 45:3 (1999), 414–424.
33. Nesterov, Y., Vial, J.P., Homogeneous analytic center cutting plane methods for convex problems and variational inequalities. SIAM Journal on Optimization 9:3 (1999), 707–728.
34. Papadimitriou, I., Georgiadis, L., Maximum lifetime routing to mobile sink in wireless sensor networks. Proceedings of the thirteenth IEEE international conference on software in telecommunications and computer networks, SoftCom, 2005.
35. Popa, L., Rostamizadeh, A., Karp, R., Papadimitriou, C., Stoica, I., Balancing traffic load in wireless networks with curveball routing. Proceedings of the international symposium on mobile ad hoc networking and computing, 9, 2007, 170–179.
36. Türkoğulları, Y.B., Aras, N., Altınel, İ.K., Optimal placement, scheduling, and routing to maximize lifetime in sensor networks. Journal of the Operational Research Society 61:6 (2010), 1000–1012.
37. Türkoğulları, Y.B., Aras, N., Altınel, İ.K., Ersoy, C., A column generation based heuristic for sensor placement, activity scheduling and data routing in wireless sensor networks. European Journal of Operational Research 207:2 (2010), 1014–1026.
38. Türkoğulları, Y.B., Aras, N., Altınel, İ.K., Ersoy, C., An efficient heuristic for placement, scheduling and routing in wireless sensor networks. Ad Hoc Networks 8:6 (2010), 654–667.
39. Varga, A., Hornig, R., An overview of the OMNeT++ simulation environment. Proceedings of the first international conference on simulation tools and techniques for communications, networks and systems and workshops, 2008, 60–69.
40. Wang, Z.M., Basagni, S., Melachrinoudis, E., Petrioli, C., Exploiting sink mobility for maximizing sensor networks lifetime. Proceedings of the thirty eighth annual Hawaii international conference on system sciences, 2005 287a–287a.
41. Wentges, P., Weighted Dantzig–Wolfe decomposition for linear mixed-integer programming. International Transactions in Operational Research 4:2 (1997), 151–162.
42. Wu, X., Chen, G., Das, S.K., Avoiding energy holes in wireless sensor networks with nonuniform node distribution. IEEE Transactions on Parallel and Distributed Systems 19:5 (2008), 710–720.
43. Xia, L., Shihada, B., A jackson network model and threshold policy for joint optimization of energy and delay in multi-hop wireless networks. European Journal of Operational Research 242:3 (2015), 778–787.
44. Yick, J., Mukherjee, B., Ghosal, D., Wireless sensor network survey. Computer Networks 52:12 (2008), 2292–2330.
45. Yun, Y., Xia, Y., Maximizing the lifetime of wireless sensor networks with mobile sink in delay-tolerant applications. IEEE Transactions on Mobile Computing 9:9 (2010), 1308–1318.
46. Yun, Y., Xia, Y., Behdani, B., Smith, J.C., Distributed algorithm for lifetime maximization in delay-tolerant wireless sensor network with mobile sink. Proceedings of the forty ninth IEEE conference on decision and control, 2010, 370–375.