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Collaborative Relaying Strategies in Autonomic Management of Mobile Robotics

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Abstract

Mobile robotics is a field that presents a surprising set of challenges to communications. One concept that can result in radically different solutions in mobile robotics is that of collaborative and cooperative communications. Cooperative techniques in wireless networks can enhance the performance of communication especially in cases where a small number of robots can be used to aid the establishment of reliable and efficient communication links. In this paper, we present a scenario for hybrid mobile robotics, where a small number of carriers are able to reposition nodes according to communication needs. We developed a common information management layer in order to coordinate cooperation (including communication aspects) between all units (information nodes and robots) according to high level self-established policies. We select IEEE 802.11 technology as the technology for the communication infrastructure and explore its potential for cooperative mobile environments in terms of power and spectrum efficiency presenting the rules required to reconfigure such a mobile robotic environment.

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References

  1. Gudgin, M., Hadley, M., Mendelsohn, N., Moreau, J. J., Nielsen, H. F., Karmarkar, A., et al. (Eds.). (2007). SOAP version 1.2 part 1: Messaging framework (2nd ed.). In World wide web consortium, April 27, 2007.

  2. Fielding, R. T. (2000). Architectural styles and the design of network-based software architectures. Ph.D. dissertation, chapter 5, University of California, Irvine. AAI9980887.

  3. Object Management Group. Common object request broker architecture. Object Management Group Standard, available at: http://www.omg.org/spec/.

  4. Shin, S.-O., Lee, J.-O., & Baik, D.-K., (2007). A mobile agent-based multi-robot design method for high-assurance. In 10th IEEE high assurance systems engineering symposium, 2007. HASE ’07, pp. 389–390, November 14–16, 2007.

  5. Darche, P., Raverdy, P.-G., & Commelin, E. (1995). ActNet: The actor model applied to mobile robotic environments. In OBPDC, pp. 273–289.

  6. Mohan, Y., & Ponnambalam, S. G., (2009). An extensive review of research in swarm robotics. In World Congress on Nature and Biologically Inspired Computing. NaBIC 2009. pp. 140–145, December 9–11, 2009.

  7. Han, Q., Wang, Q., Zhu, X., & Xu. J. (2011). Path planning of mobile robot based on improved ant colony algorithm. In 2011 international conference on consumer electronics, communications and networks (CECNet), pp. 531–533.

  8. Janglova, D. (2004). Neural networks in mobile robot motion. International Journal on Advanced Robotic Systems, 1(1). ISSN 1729–8806.

    Google Scholar 

  9. Horn, P. (2001). Autonomic computing: IBM’s perspective on the state of information technology. IBM technical report.

  10. IBM. (2003). An architectural blueprint for autonomic computing. IBM technical report.

  11. Hagyard, P. & Marriott, R. (1995). Robotic task and motion planning using distributed knowledge bases. In Proceedings of the third Australian and New Zealand conference on intelligent information systems, 1995. ANZIIS-95, pp. 19–23, November 27, 1995. doi:10.1109/ANZIIS.1995.705708.

  12. Keeney, J., Jones, D., Guo, S., Lewis, D., & O’Sullivan, D. (2009). Knowledge based networking. In A. Hinze & A. Buchmann (Eds.), Handbook of research on advanced distributed event-based systems: Publish-subscribe and message filtering technologies. New York: IGI Global.

  13. Barraca, J. P., & Aguiar, R. L. (2008). Managing community aware wireless mesh networks. In IEEE international symposium on computer and communications (ISCC), Marrakech, Morocco, July 6–9, 2008.

  14. Barraca, J. P., & Aguiar, R. L. (2008). Ontology driven framework for community networking management. In International conference on telecommunications, St. Petersburg, Russia, June 2008 .

  15. IEEE Std 802.11g-2003. Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications: Further higher data rate extension in the 2.4GHz band, 2003.

  16. IEEE Std 802.11n-2009. Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications: Enhancements for higher throughput, 2009.

  17. IEEE Std. 802.11b-1999. Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications: High-speed physical layer extension in the 2.4 GHz band, 1999.

  18. Heusse, M., Rousseau, F., Berger-Sabbatel, G., & Duda, A. (2003). Performance anomaly of 802.11b. In Proceedings of IEEE INFOCOM (Vol. 2, pp. 836–843).

  19. Zhu H., & Cao, G. (2005). rDCF: A relay-enabled medium access control protocol for wireless ad hoc networks. In Proceedings of the IEEE INFOCOM, pp. 12–22.

  20. Liu, P., Tao, Z., Narayman, S., Koralis, T., & Panwar, S. S. (Feb. 2007). CoopMAC: A cooperative MAC for wireless LANs. IEEE Journal on Selected Areas in Communications (JSAC), 25, 340–354.

    Google Scholar 

  21. Jibukumar, M. G., Datta, R., & Biswas, P. K. (2009). CoopMACA: A cooperative MAC protocol using packet aggregation. Wireless Networks, 16(7), 1865–1883.

    Google Scholar 

  22. Zou, S., Li, B., Wu, H., Zhang, Q., Zhu, W., & Cheng, S. (2006). A relay-aided media access (RAMA) protocol in multirate wireless networks. IEEE Transactions on Vehicular Technology, 55, 1657–1667.

    Google Scholar 

  23. Hu, Z., & Tham, C. (2008). CCMAC: Coordinated cooperative MAC for wireless LANs. In Proceedings of the 11th international symposium on modelling, analysis and simulation of wireless and mobile systems. ACM: New York, NY, USA, pp. 60–69.

  24. Pathmsuntharam, J. S., Das, A., & Gupta, K. (2005). Efficient multi-rate relaying (EMR) MAC protocol for ad hoc network. In Proceedings of IEEE ICC 2005, Seoul. Korea, pp. 2947–2951.

  25. Zhao, B., & Valenti, M. (2005). Practical relay networks: A generalization of Hybrid ARQ. IEEE Journal of Selected Areas Communication (JSAC), 23(1), 7–18.

    Article  Google Scholar 

  26. Cui, S., Goldsmith, A., & Bahai, A. (2004). Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE Journal on Selected Areas Communication (JSAC), 22(6), 1089–1098.

    Article  Google Scholar 

  27. Ahmad, R., Zheng, F.-C., & Drieberg, M. (2009). Modeling energy consumption of dual-hop relay based MAC protocols in ad hoc networks. EURASIP Journal on Wireless Communications and Networking. Article ID 968323.

  28. Ahmad, R., Zheng, F.-C., & Drieberg, M. (2010). Delay analysis of enhanced relay-enabled distributed coordination function. In Proceedings of IEEE vehicular technology conference (VTC), pp. 1–6.

  29. Sadeghi, R., Barraca, J. P., & Aguiar, R. L. (2012). Energy efficiency and capacity modeling for cooperative cognitive networks. Journal of Green Engineering, 2(4), 377–399.

    Google Scholar 

  30. Sadeghi, R., Barraca, J. P., & Aguiar, R. L. (2011). Metrics for optimal relay selection in cooperative wireless networks. In Proceedings of 22nd IEEE international symposium on personal, indoor and mobile radio communications (PIMRC), Toronto, Canada, September 2011.

  31. Stoica, I., et al. (2001). Chord: A scalable peer-to-peer lookup service for internet applications. In Proceedings of SIGCOMM’01. ACM: Press New York, NY, USA.

  32. Ratnasamy, S., Francis, P., Handley, M., Karp, R., & Shenker, S. (2001). A scalable content-addressable network. In SIGCOMM Computer Communications Review, 31(4), 161–172. doi:10.1145/964723.383072.

  33. Rowstron, A. I. T., & Druschel, P. (2001). Pastry: Scalable, decentralized object location, and routing for large-scale peer-to-peer systems. In R. Guerraoui (Ed.), Proceedings of the IFIP/ACM international conference on distributed systems platforms (Middleware ’01), Heidelberg (pp. 329–350). London: Springer.

  34. Maymounkov, P. & Mazi, D. (2001). Kademlia: A peer-to-peer information system based on the XOR metric. In Revised papers from the first international workshop on peer-to-peer systems (IPTPS ’01), London: Springer, pp. 53–65.

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Authors and Affiliations

  1. Instituto de Telecomunicações, Universidade de Aveiro, Aveiro, Portugal

    João Paulo Barraca, Rasool Sadeghi & Rui L. Aguiar

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  1. João Paulo Barraca
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  2. Rasool Sadeghi
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  3. Rui L. Aguiar
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Correspondence to Rui L. Aguiar.

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Barraca, J.P., Sadeghi, R. & Aguiar, R.L. Collaborative Relaying Strategies in Autonomic Management of Mobile Robotics. Wireless Pers Commun 70, 1077–1096 (2013). https://doi.org/10.1007/s11277-013-1104-1

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