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Optimization scheme for sensor coverage scheduling with bandwidth constraints

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Abstract

Wireless Sensor Network has attracted a lot of attentions due to its broad applications in recent years and also introduces many challenges. Network lifetime is a critical issue in Wireless Sensor Networks. It is possible to extend network lifetime by organizing the sensors into a number of sensor covers. However, with the limited bandwidth, coverage breach (i.e, targets that are not covered) can occur if the number of available time-slots/channels is less than the number of sensors in a sensor cover. In this paper, we study a joint optimization problem in which the objective is to minimize the coverage breach as well as to maximize the network lifetime. We show a “trade-off” scheme by presenting two strongly related models, which aim to tradeoffs between the two conflicting objectives. The main approach of our models is organizing sensors into non-disjoint sets, which is different from the current most popular approach and can gain longer network lifetime as well as less coverage breach. We proposed two algorithms for the first model based on linear programming and greedy techniques, respectively. Then we transform these algorithms to solve the second model by revealing the strong connection between the models. Through numerical simulation, we showed the good performance of our algorithms and the pictures of the tradeoff scheme in variant scenarios, which coincide with theoretical analysis very well. It is also showed that our algorithms could obtain less breach rate than the one proposed in (Cheng et al. in INFOCOM’ 05, 2005).

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References

  1. Cardei, M., Thai, M.T., Li, Y., Wu, W.: Energy-Efficient target coverage in wireless sensor networks. In: INFOCOM’05 (2005)

  2. Cheng, M.X., Ruan, L., Wu, W.: Achieving minimum coverage breach under bandwidth constraints in wireless sensor networks. In: INFOCOM’05 (2005)

  3. Cardei, M., Du, D.-Z.: Improving wireless sensor network lifetime through power aware organization. In: ACM Wireless Networks, vol. 11, no. (3) (2005)

  4. Slijepcevic, S., Potkonjak, M.: Power efficient organization of wireless sensor networks. In: IEEE International Conference on Communications (June 2001)

  5. Estrin, D., Govindan, R., Heidemann, J., Kumar, S.: Next century challenges: scalable coordination in sensor networks. In: MOBICOM (1999)

  6. Kahn, J., Katz, R., Pister, K.: Next century challenges: mobile networking for smart dust. In: MOBICOM (1999)

  7. Cerpa, A., Elson, J., Estrin, D., Girod, L., Hamilton, M., Zhao, J.: Habitat monitoring: application driver for wireless communications technology. In: Proceeding of ACM SIGCOMM Workshop on Data Communications in Latin America and the Caribbean Costa Rica (2001)

  8. Raghunathan, V., Schurgers, C., Park, S., Srivastava, M.B.: Energy-aware wireless microsensor networks. In: IEEE Signal Processing Magazine, pp. 40–50 (2002)

  9. Benini, L., Castelli, G., Macii, A., Macii, E., Poncino, M., Scarsi, R.: A discrete-time battery model for high-level power estimation. In: Proceedings of DATE, pp. 35–39 (2000)

  10. Berman, P., Calinescu, G., Shah, C., Zelikovsky, A.: Power efficient monitoring management in sensor networks. In: WCNC ’04 (March 2004)

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Correspondence to Chen Wang.

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Wang, C., Thai, M.T., Li, Y. et al. Optimization scheme for sensor coverage scheduling with bandwidth constraints. Optim Lett 3, 63–75 (2009). https://doi.org/10.1007/s11590-008-0091-8

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  • DOI: https://doi.org/10.1007/s11590-008-0091-8

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