Abstract
Recently, wireless self-organizing networks are attracting a lot of interest in the research community. Moreover, in the last decade many mobile devices have appeared in the market. Exploiting mobility in a wireless environment, instead of considering it as a kind of disturbance, is a fundamental concept that the research community is beginning to appreciate now. Of course, the advantages obtainable through the use of the mobility imply the knowledge of the different types of mobility and the way to include it in the management architecture of the wireless networks. In this work we claim that mobility and wireless sensor networks can be considered as two synergetic elements of the same reality. For this purpose, we sketch a macro-classification of the different objectives which can be pursued by controlled mobility. Moreover, we identify and highlight the interactions between this specific type of mobility and the layers of the control stack. Lastly, this paper reports a case study in which we show how controlled mobility can be exploited practically.
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Abbasi, A. A., Younis, M., & Akkaya, K. (2009). Movement-assisted connectivity restoration in wireless sensor and actor networks. IEEE Transactions on Parallel and Distributed Systems, 20(9). doi:10.1109/TPDS.2008.246.
Abdel-Mageid, S., & Ramadan, R. A. (2010). Efficient deployment algorithms for mobile sensor networks. In IEEE international conference of autonomous and intelligent systems (AIS), June.
Akkaya, K., Senel, F., Thimmapuram, A., & Uludag, S. (2010). Distributed recovery from network partitioning in movable sensor/actor networks via controlled mobility. IEEE Transactions on Computers, 59(2), 258–271.
Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey. Computer Networks, 38(2), 393–422.
Basu, A., Boshes, B., Mukherjee, S., & Ramanathan, S. (2004). Network deformation: traffic-aware algorithms for dynamically reducing end-to-end delay in multi-hop wireless networks. In Proceedings of ACM MobiCom (pp. 100–113).
Bisnik, N., Abouzeid, A., & Isler, V. (2007). Stochastic event capture using mobile sensors subject to a quality metric. IEEE Transactions on Robotics, 23(4), 676–692).
Butler, Z., & Rus, D. (2004). Controlling mobile sensors for monitoring events with coverage constraints. In Proceedings of IEEE ICRA (Vol. 2, pp. 1568–1573).
Cortes, J., Martinez, S., Karatas, T., & Bullo, F. (2004). Coverage control for mobile sensing networks. IEEE Transactions on Robotics and Automation, 20(2), 243–255.
Goldenberg, D. K., Lin, J., Morse, A. S., Rosen, B. E., & Yang, Y. R. (2004). Towards mobility as a network control primitive. In Proceedings of ACM mobihoc (pp. 163–174).
Kansal, A., Rahimi, M., Estrin, D., Kaiser, W. J., Pottie, G. J., & Srivastava, M. B. (2004). Controlled mobility for sustainable wireless sensor networks. In Proceedings of IEEE SECON (pp. 1–6).
Luo, J., & Hubaux, J. P. (2005). Joint mobility and routing for lifetime elongation in wireless sensor networks. In Proceeding of IEEE INFOCOM (Vol. 3, pp. 1735–1746).
Natalizio, E., Loscrí, V., & Viterbo, E. (2008). Optimal placement of wireless nodes for maximizing path lifetime. IEEE Communications Letters, 12(5), 362–364.
Rao, R., & Kesidis, G. (2004). Purposeful mobility for relaying and surveillance in mobile ad hoc sensor networks. IEEE Transactions on Mobile Computing, 3(3), 225–232.
Roh, H.-T., & Lee, J.-W. (2010). Joint relay node placement and node scheduling in wireless networks with a relay node with controllable mobility. Wireless Communications and Mobile Computing. doi:10.1002/wcm.1007.
Seah, W. K. G., Liu, K. Z., Ang, M. H. Jr., Lim, J. G., & Rao, S. V. (2006). TARANTULAS: mobility-enhanced wireless sensor-actuator networks. In Proceedings of IEEE sensor networks, ubiquitous, and trustworthy computing (Vol. 1, pp. 548–551).
Somasundara, A. A., Kansal, A., Jea, D. D., Estrin, D., & Srivastava, M. B. (2006). Controllably mobile infrastructure for low energy embedded networks. IEEE Transactions on Mobile Computing, 5(8), 958–973.
Somasundara, A. A., Ramamoorthy, A., & Srivastava, M. B. (2007). Mobile element scheduling with dynamic deadlines. IEEE Transactions on Mobile Computing, 6(4), 395–410.
Wang, W., Srinivasan, V., & Chua, K. C. (2005). Using mobile relays to prolong the lifetime of wireless sensor networks. In Proceedings of ACM MOBICOM (pp. 270–283).
Wang, G., Cao, G., & La Porta, T. F. (2006). Movement-assisted sensor deployment. IEEE Transactions on Mobile Computing, 5(6), 640–652.
Zhao, W., Ammar, M., & Zegura, E. (2005). Controlling the mobility of multiple data transport ferries in a delay-tolerant network. In Proceedings of IEEE INFOCOM (Vol. 2, pp. 1407–1418).
Zou, Y., & Chakrabarty, K. (2004). Sensor deployment and target localization in distributed sensor networks. ACM Transactions on Embedded Computing Systems, 3, 61–91.
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Natalizio, E., Loscrí, V. Controlled mobility in mobile sensor networks: advantages, issues and challenges. Telecommun Syst 52, 2411–2418 (2013). https://doi.org/10.1007/s11235-011-9561-x
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DOI: https://doi.org/10.1007/s11235-011-9561-x