Skip to main content

Advertisement

Log in

Utilizing detours for energy conservation in mobile wireless networks

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

Abstract

Autonomous robotic systems have been gaining the attention of research community in mobile ad hoc network since the past few years. While motion cost and communications cost constitute the primary energy consumers, each of them is investigated independently. By taking into account the power consumption of both entities, the overall energy efficiency of a system can be further improved. In this paper, the energy optimization problem of radio communication and motion is examined. We consider a hybrid wireless network in two scenarios: first, a single autonomous mobile node communicating with multiple static relays through single hop, and secondly, a single mobile node communicating with a static base station via a mobile relay. The mobile node interacts with the relays within its vicinity by continuously transmitting high-bandwidth data, e.g. triggered by a multimedia application like video surveillance. The goal is to find the best paths such that the energy consumption for both mobility and communications is minimized for all mobile nodes. We introduce Radio-Energy-Aware (REA) path computation strategy by utilizing node mobility. Given the starting point, the target point and the position of the relays, our simulation results show that the proposed strategy improves the energy efficiency of mobile node compared to Motion-Energy-Aware (MEA) path constructed based only on the mobility cost.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Swarm-bots Project (2005). http://www.swarm-bots.org.

  2. IEEE 802.11 wireless local area networks—the working group for wlan standards (2007).

  3. Swarm-robotics.org (2007). http://www.swarm-robotics.org.

  4. EPFL Education Robot (2007). http://www.e-puck.org.

  5. K-Team Corporation (2007). http://www.k-team.com.

  6. Status of Project IEEE 80211n—Standard for Enhancements for Higher Throughput (2007). http://grouper.ieee.org/groups/802/11/Reports/802.11.

  7. Farinelli, A., Iocchi, L., & Nardi, D. (2004). Multirobot systems: A classification focused on coordination. IEEE Transactions on Systems, Man, and Cybernetics.

  8. Jardosh, A., Belding-Royer, E., Almeroth, K. C., & Suri, S. (2003). Towards realistic mobility models for mobile ad hoc networks. In Proceedings of ACM MobiCom.

  9. Akyildiz, I. F., Melodia, T., & Chowdhury, K. R. (2007). A survey on wireless multimedia sensor networks. Computer Networks, 51(4), 921–960. doi:10.1016/j.comnet.2006.10.002.

    Article  Google Scholar 

  10. Wang, Y., & Wu, C.-H. (2007). Robot-assisted sensor network deployment and data collection. In Proceedings of IEEE international symposium on computational intelligence in robotics and automation (pp. 467–472).

  11. Das, S. M., Hu, Y. C., Lee, C. G., & Lu, Y. H. (2005). An efficient group communication protocol for mobile robots. In Proceedings of IEEE ICRA.

  12. 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 the 5th ACM MobiHoc (pp. 163–174). New York: ACM Press.

    Chapter  Google Scholar 

  13. Gruenewald, M., Rueckert, U., Schindelhauer, C., & Volbert, K. (2003). Directed power-variable infrared communication for the mini robot khepera. In Proceedings of the 2nd international conference on autonomous minirobots for research and edutainment (pp. 113–122).

  14. Hoang, A. T., & Motani, M. (2005). Exploiting wireless broadcast in spatially correlated sensor networks. In Proceedings of IEEE ICC (pp. 2807–2811).

  15. Koutsonikolas, D., Das, S. M., Hu, Y. C., Lu, Y. H., & Lee, C. S. G. (2006). Cocoa: Coordinated cooperative localization for mobile multi-robot ad hoc networks. In Proceedings of the 26th IEEE ICDCSW (p. 9), Washington, DC, USA.

  16. Mei, Y., Lu, Y. H., Hu, Y. C., & Lee, C. (2005). A case study of mobile robot’s energy consumption and conservation techniques. In Proceedings of 12th IEEE ICAR (pp. 492–497).

  17. Ooi, C. C., & Schindelhauer, C. (2007). Minimal energy path planning for wireless robots. In ACM international conference proceeding series. ROBOCOMM’07: Proc. of the 1st international conference on robot communication and coordination. New York: IEEE.

    Google Scholar 

  18. Powers, M., Balch, T., & Lab, B. (2004). Value-based communication preservation for mobile robots. In Proceedings of IEEE ICRA.

  19. Rodoplu, V., & Meng, T. (1998). Minimum energy mobile wireless networks. In Proceedings of IEEE ICC (Vol. 3, pp. 1633–1639).

  20. Tang, C., & McKinley, P. K. (2006). Energy optimization under informed mobility. IEEE Transactions on Parallel and Distributed Systems, 17(9), 947–962.

    Article  Google Scholar 

  21. Tseng, Y. C., Wang, Y. C., Cheng, K. Y., & Hsieh, Y. Y. (2007). Imouse: an integrated mobile surveillance and wireless sensor system. In IEEE computer (pp. 60–66).

  22. Liu, W., Zhang, Y., Lu, K., & Fang, Y. (2006). Energy conservation through resource-aware movement in heterogeneous mobile ad hoc networks. IEEE Transactions Parallel and Distributed Systems, 11(1), 7–20.

    Google Scholar 

  23. Su, W., Lee, S.-J., & Gerla, M. (2000). Mobility prediction in wireless networks. In Proceedings of IEEE military communications conference (MILCOM).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chia Ching Ooi.

Additional information

This research is partially supported by DFG-Sonderforschungsbereich SPP 1183: Organic Computing. Smart Teams: Local, Distributed Strategies for Self-Organizing Robotic Exploration Teams.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ooi, C.C., Schindelhauer, C. Utilizing detours for energy conservation in mobile wireless networks. Telecommun Syst 43, 25 (2010). https://doi.org/10.1007/s11235-009-9188-3

Download citation

  • Published:

  • DOI: https://doi.org/10.1007/s11235-009-9188-3

Keywords

Navigation