Abstract
Network users not only demand new and versatile application support by the networks but they themselves are becoming part of the network (network routers, caches, processors, etc) by contributing their resources to it and being engaged in ad hoc networking structures. As the large and diverse user population becomes more and more part of the networking infrastructure it is clear that networks will be dominated by a new type of network nodes which are much more nomadic, diverse and autonomic than in traditional networks, creating a fairly diverse – in size and characteristics – networking environment. For instance, low cost/high availability/convenience of wireless devices are expected to lead to the deployment of a plethora of wireless networks for diverse applications: from rescue missions to military communications, from collaborative computing and sensor networks to web browsing and e-mail exchange to real time voice and video communications. Each with different constraints and requirements. And, for each type of application there is also a high degree of variability in the networking context: from a low mobile network of a few nodes to a highly mobile network with thousands of nodes.
This high degree of variability in the networking environment calls for a new design paradigm where network elements (nodes) should be able to adapt to totally different scenarios, engaging in a different behavior depending on the situation. Thus, next generation networks should be able to learn their environment/context and adapt their behavior accordingly in order to achieve their goals. In this paper we introduce some key mechanisms required to enable broad adaptability. Although these mechanisms are general and common to a large variety of tasks/services (e.g. service discovery, location management, cooperative computing, clustering, etc.) we will discuss them in the context of the routing service, leveraging our past experience on the area. This will allow us to ground the discussion in concrete terms and the reader to better visualize the concepts.
This work is funded in part by the EU-funded project ACCA and the EU Network of Excellence E-NEXT.
Chapter PDF
Similar content being viewed by others
References
The Joint Tactical Radio System (JTRS) program web page, at http://jtrs.army.mil/
Santivanez, C., Stavrakakis, I.: A Framework for a Multi-mode Routing Protocol for (MANET) Networks. In: Proceedings of IEEE WCNC 1999, New Orleans, LO (September 1999)
Santivanez, C.: A framework for multi-mode routing in wireless ad hoc networks: theoretical and practical aspects of scalability and dynamic adaptation to varying network size, traffic and mobility patterns. Doctoral thesis, Electrical and Computing Engineering Department, Northeastern University, Boston, MA (November 2001)
Santivanez, C., Ramanathan, S., Stavrakakis, I.: Making Link State Routing Scale for Ad Hoc Networks. In: Proceedings of MobiHOC 2001, Long Beach, CA (October 2001)
DARPA’s neXt Generation program: web page, http://www.darpa.mil/ato/programs/XG/
Santivanez, C., McDonald, A.B., Stavrakakis, I., Ramanathan, S.: On the Scalability of Ad Hoc Routing Protocols. In: Proceedings of IEEE Infocom 2002, New York, USA (June 2002)
Tsuchiya, P.F.: Landmark Routing: Architecture, Algorithms, and Issues. Technical Report MTR-87W00174, Cambridge, MA, MITRE Corporation (September 1987)
Pei, G., Gerla, M., Hong, X.: LANMAR: Landmark Routing for Large Scale Wireless Ad Hoc Networks with Group Mobility. In: Proceedings of ACM Workshop on Mobile and Ad Hoc Networking and Computing MobiHOC 2000, Boston, MA (August 2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Santivanez, C.A., Stavrakakis, I. (2005). Towards Adaptable Ad Hoc Networks: The Routing Experience. In: Smirnov, M. (eds) Autonomic Communication. WAC 2004. Lecture Notes in Computer Science, vol 3457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11520184_18
Download citation
DOI: https://doi.org/10.1007/11520184_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27417-9
Online ISBN: 978-3-540-32009-8
eBook Packages: Computer ScienceComputer Science (R0)