Skip to main content
Log in

Resource Management for Ad-Hoc Wireless Networks with Cluster Organization

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

Boosted by technology advancements, government and commercial interest, ad-hoc wireless networks are emerging as a serious platform for distributed mission-critical applications. Guaranteeing QoS in this environment is a hard problem because several applications may share the same resources in the network, and mobile ad-hoc wireless networks (MANETs) typically exhibit high variability in network topology and communication quality. In this paper we introduce DYNAMIQUE, a resource management infrastructure for MANETs. We present a resource model for multi-application admission control that optimizes the application admission utility, defined as a combination of the QoS satisfaction ratio. A method based on external adaptation (shrinking QoS for existing applications and later QoS expansion) is introduced as a way to reduce computation complexity by reducing the search space. We designed an application admission protocol that uses a greedy heuristic to improve application utility. For this, the admission control considers network topology information from the routing layer. Specifically, the admission protocol takes benefit from a cluster network organization, as defined by ad-hoc routing protocols such as CBRP and LANMAR. Information on cluster membership and cluster head elections allows the admission protocol to minimize control signaling and to improve application quality by localizing task mapping.

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. M. Cardei, I. Cardei, R. Jha and A. Pavan, Hierarchical feedback adaptation for real-time sensor-based distributed applications, in: Proceedings of the 3rd IEEE International Symposium on Object-Oriented Real-Time Distributed Computing (March 2000).

  2. I. Cardei, R. Jha, M. Cardei and A. Pavan, Hierarchical architecture for real-time adaptive resource management, in: Proceedings of the IFIP/ACM Middleware 2000 Conference.

  3. D.-Z. Du and K. Ko, Theory of Computational Complexity (Wiley, New York, 2000).

    Google Scholar 

  4. M. Gerla, X. Hong and G. Pei, Landmark routing for large ad hoc wireless networks, in: Proceedings of IEEE GLOBECOM 2000, San Francisco, CA (November 2000).

  5. C. Hoover, J. Hansen, P. Koopman and S. Tamboli, The amaranth framework: Policy-based quality of service management for high assurance computing, International Journal of Reliability, Quality and Safety Engineering, Special Issue on High-Assurance Computing (December 2001).

  6. J. Huang, P.-J. Wan and D.-Z. Du, Criticality and QoS-based multiresource negotiation and adaptation, Real-Time Systems 115 (1998) 249–273.

    Google Scholar 

  7. J. Huang, Y.Wang, N.R. Vaidyanathan and F. Cao, GRMS: A global resource management system for distributed QoS and criticality support, in: Proceedings of the 4th IEEE International Conference on Multimedia Computing and Systems (June 1997).

  8. M. Jiang, J. Li and Y.-C. Tay, Cluster Based Routing Protocol, IETFDraft (August 1999) p. 27, http://www.ietf.org/internet-drafts/draftietf-manet-cbrp-spec-01.txt

  9. S.-B. Lee and A.-T. Campbell, INSIGNIA: In-band signaling support for QoS in mobile ad hoc networks, in: Proceedings of 5th International Workshop on Mobile Multimedia Communications (MoMuC'98), Berlin, Germany (October 1998).

  10. C. Lee, J. Lehoczky, R. Rajkumar and D. Siewiorek, On quality of service optimization with discrete QoS options, in: Proceedings of the IEEE Real-Time Technology and Applications Symposium (June 1999).

  11. C.L. Liu and J.W. Layland, Scheduling algorithms for multiprogramming in a hard real-time environment, Journal of the Association for Computing Machinery 20(1) (1973) 40–61.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cardei, I., Varadarajan, S., Pavan, A. et al. Resource Management for Ad-Hoc Wireless Networks with Cluster Organization. Cluster Computing 7, 91–103 (2004). https://doi.org/10.1023/B:CLUS.0000003946.65880.25

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/B:CLUS.0000003946.65880.25

Navigation