Abstract
Wireless robotics enables wide applications of service robots to benefit human life. However, effective machine-to-machine communications would be the foundation of operation. With cloud-based architecture, we innovatively demonstrate in-network computation to significantly alleviate the requirement of communication bandwidth for multi-hop networking, to achieve spectrum-efficient M2M communications. We further characterize the coverage geographical of machines to impact effective operation of wireless robotics.
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Birk, A., Schwertfeger, S., & Pathak, K. (2009). A networking framework for teleoperation in safety, security, and rescue robotics. IEEE Wireless Communications, 16(1), 6–13.
Pohjola, M., Nethi, S., & Janti, R. (2009). Wireless control of a multihop mobile robot squad. IEEE Wireless Communications, 16(1), 14–20.
Mezei, I., Malbasa, V., & Stojmenovic, I. (2010). Robot to robot. IEEE Robotics Automation Magazine, 17(4), 63–69.
Hu, G., Tay, W. P., & Wen, Y. (2012). Cloud robotics: Architecture, challenges and applications. IEEE Network, 26(3), 21–28.
Wu, G., Talwar, S., Johnsson, K., Himayat, N., & Johnson, K. (2011). M2M: From mobile to embedded internet. IEEE Communications Magazine, 49(4), 36–43.
Lee, E. A. (May 2008). Cyber physical systems: Design challenges. In 11th IEEE international symposium on object oriented real-time distributed computing (ISORC) (pp. 363–369).
Lien, S.-Y., & Chen, K.-C. (2011). Massive access management for QoS guarantees in 3g pp machine-to-machine communications. IEEE Communications Letters, 15(3), 311–313.
Cheng, S.-M., Lien, S.-Y., Chu, F.-S., & Chen, K.-C. (2011). On exploiting cognitive radio to mitigate interference in macro/femto heterogeneous networks. IEEE Wireless Communications, 18(3), 40–47.
Lien, S.-Y., Cheng, S.-M., Shih, S.-Y., & Chen, K.-C. (2012). Radio resource management for QoS guarantees in cyber-physical systems. IEEE Transactions on Parallel and Distributed Systems, 23(9), 1752–1761.
Chen, K.-C. (1994). Medium access control of wireless lans for mobile computing. IEEE Network, 8(5), 50–63.
Chen, K.-C., & Prasad, R. (2009). Cognitive Radio Networks. New York: Wiley.
Liang, Y.-C., Chen, K.-C., Li, G., & Mahonen, P. (2011). Cognitive radio networking and communications: An overview. IEEE Transactions on Vehicular Technology, 60(7), 3386–3407.
Chen, K.-C. (June 2012). Machine-to-machine communications for healthcare. Journal of Computing Science and Engineering, 6(2), 119–126.
Luo, R. C., Su, K., Shen, S., & Tsai, K. (2003). Networked intelligent robots through the internet: Issues and opportunities. Proceedings of the IEEE, 91(3), 371–382.
Perkins, C. E. (2008). Ad hoc networking. New York: Wiley.
Watts, D. J., & Strogatz, S. H. (June 1998). Collective dynamics of small-world networks. Nature, 393, 440–442.
Lin, S.-C., Gu, L., & Chen, K.-C. (2012). Providing statistical QoS guarantees in large cognitive machine-to-machine networks. In IEEE GLOBECOM (Machine-to-Machine, Communications Workshop).
Freris, N. M., Kowshik, H., & Kuma, P. (2010). Fundamentals of large sensor networks: Connectivity, capacity, clocks, and computation. Proceedings of the IEEE, 98(11), 1828–1846.
Gong, X., Chandrashekhar, T., Zhang, J., & Poor, H. (2012). Opportunistic cooperative networking: To relay or not to relay? IEEE Journal on Selected Areas in Communications, 30(2), 307–314.
Haenggi, M., Andrews, J., Baccelli, F., Dousse, O., & Franceschetti, M. (2009). Stochastic geometry and random graphs for the analysis and design of wireless networks. IEEE Journal on Selected Areas in Communications, 27(7), 1029–1046.
Ao, W. C., Cheng, S.-M., & Chen, K.-C. (2012). Connectivity of multiple cooperative cognitive radio ad hoc networks. IEEE Journal on Selected Areas in Communications, 30(2), 263–270.
Chen, P.-Y., Ao, W. C., & Chen, K.-C. (2012). Rate-delay enhanced multipath transmission scheme via network coding in multihop networks. IEEE Communications Letters, 16(3), 281–283.
Ao, W. C., & Chen, K.-C. (2012). Cognitive radio-enabled network-based cooperation: From a connectivity perspective. IEEE Journal on Selected Areas in Communications, 30(10), 1969–1982.
Ao, W. C., & Chen, K.-C. (2013). Error control for local broadcasting in heterogeneous wireless ad hoc networks. IEEE Transactions on Communications (to appear).
Fink, J., Ribeiro, A., & Kumar, V. (2012). Robust control for mobility and wireless communication in cyber; physical systems with application to robot teams. Proceedings of the IEEE, 100(1), 164–178.
Huang, C.-H., & Chen, K.-C. (April 2009). Decision-prediction sensor fusion for intelligent mobile device navigation. In IEEE 69th vehicular technology conference, 2009. VTC Spring (pp. 1–5).
Bai, F., Munasinghe, K., & Jamalipour, A. (2012). A novel information acquisition technique for mobile-assisted wireless sensor networks. IEEE Transactions on Vehicular Technology, 61(4), 1752–1761.
Shi, Y., & Hou, Y. T. (2012). Some fundamental results on base station movement problem for wireless sensor networks. IEEE/ACM Transactions on Networking, 20(4), 1054–1067.
Giridhar, A., & Kumar, P. (2005). Computing and communicating functions over sensor networks. IEEE Journal on Selected Areas in Communications, 23(4), 755–764.
Fasolo, E., Rossi, M., Widmer, J., & Zorzi, M. (2007). In-network aggregation techniques for wireless sensor networks: A survey. IEEE Wireless Communications, 14(2), 70–87.
Yuan, J., & Yu, W. (2008). Joint source coding, routing and power allocation in wireless sensor networks. IEEE Transactions on Communications, 56(6), 886–896.
Slepian, D., & Wolf, J. (1973). Noiseless coding of correlated information sources. IEEE Transactions on Information Theory, 19(4), 471–480.
Berger, T., Zhang, Z., & Viswanathan, H. (1996). The ceo problem [multiterminal source coding]. IEEE Transactions on Information Theory, 42(3), 887–902.
Ramamoorthy, A. (2011). Minimum cost distributed source coding over a network. IEEE Transactions on Information Theory, 57(1), 461–475.
Conti, J. (2006). The internet of things. IEEE Communications Engineer, 4(6), 20–25.
Barros, J., & Servetto, S. (2006). Network information flow with correlated sources. IEEE Transactions on Information Theory, 52(1), 155–170.
Gemana, S., & Geman, D. (1984). Stochastic relaxation, gibbs distributions and the bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-6(6), 721–741.
Manohar, P., & Manjunath, D. (2009). On the coverage process of a moving point target in a non-uniform dynamic sensor field. IEEE Journal on Selected Areas in Communications, 27(7), 1245–1255.
Li, M., Cheng, W., Liu, K., He, Y., Li, X., & Liao, X. (2011). Sweep coverage with mobile sensors. IEEE Transactions on Mobile Computing, 10(11), 1534–1545.
Hefeeda, M., & Bagheri, M., (October 2007). Wireless sensor networks for early detection of forest fires. In IEEE internatonal conference on mobile ad hoc and sensor systems, 2007, MASS 2007 (pp. 1–6).
Liu, B., & Towsley, D. (October 2004). A study of the coverage of large-scale sensor networks. In 2004 IEEE international conference on mobile ad-hoc and sensor systems (pp. 475–483).
Megerian, S., Koushanfar, F., Potkonjak, M., & Srivastava, M. (2005). Worst and best-case coverage in sensor networks. IEEE Transactions on Mobile Computing, 4(1), 84–92.
Meester, R., & Roy, R. (1996). Continuum percolation. Cambridge: Cambridge University Press.
Stoyan, D., Kendall, W. S., & Mecke, J. (1987). Stochastic geometry. New York: Wiley.
Ye, W., Heidemann, J., & Estrin, D. (2002). An energy-efficient mac protocol for wireless sensor networks. In Proceedings IEEE INFOCOM 2002. Twenty-first annual joint conference of the IEEE computer and communications societies (vol. 3 pp. 1567–1576).
Manjeshwar, A., & Agrawal, D. (April 2001). Teen: A routing protocol for enhanced efficiency in wireless sensor networks. In Proceedings 15th international parallel and distributed processing, symposium (pp. 2009–2015).
Saad, W., Han, Z., Debbah, M., Hjorungnes, A., & Basar, T. (2009). Coalitional game theory for communication networks. IEEE Signal Processing Magazine, 26(5), 77–97.
Scarf, H. E. (1967). The core of an n person game. Econometrica, 35(1), 50–69 (Online). http://www.jstor.org/stable/1909383.
Shapley, L. (1971). Cores of convex games. International. Journal of Game Theory, 1, 11–26.
Littlechild, S. C., & Owen, G. (1973). A simple expression for the shapley value in a special case. Management Science, 20(3), 370–372.
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This research is supported by the INTEL Corp. and National Science Council under the contract NSC-101-2911-I-002-001.
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Tseng, FM., Lin, CH. & Chen, KC. In-Network Computations of Machine-to-Machine Communications for Wireless Robotics. Wireless Pers Commun 70, 1097–1119 (2013). https://doi.org/10.1007/s11277-013-1119-7
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DOI: https://doi.org/10.1007/s11277-013-1119-7