Mobile Ad hoc NETwork

Keywords Mobile ad-hoc networks Distributed sensor networks Secure routing Vulnerability Embedded systems Low-power design... 

The transition from desktop computing to embedded systems is associated with price, power and timing constrains. A special class embedded systems, termed distributed sensor networks (DSN), are characterized by extra requirements small size and sufficient battery lifetime. Distributed sensor networks can be alternatively labeled mobile ad-hoc networks (MANET). While the term DSN is associated with data acquisition applications, MANET emphasizes mobility and the lack of infrastructure. Distributed sensor networks can be scalable to thousands of nodes that cooperatively perform complex tasks. The interaction between the nodes is based on wireless communication [Kah 00, War 01, Hil 02], Wireless sensor networks (WSN) is yet another synonym. 

Hon 02] Hong, Xiaoyan, Kaixin Xu, and Mario Gerla, Scalable routing protocols for mobile ad hoc networks, IEEE Network, July/August, 2002, pp. 11-21. 

Mau 01] Mauve, Martin and Jorg Widmer, A survey on position-based routing in mobile ad hoc networks, IEEE Network, November/December, 2001, pp. 30-39. 

Di Caro, G., Ducatelle, F., GambaxdeUa, L. AntHocNet an adaptive nature-inspired algorithm for routing in mobile ad hoc networks. Eur. Trans. Telecommun. 16, 443-455 (2005)... 

Ziane, S., Melouk, A. A swarm intelligent multi-path routing for multimedia traffic over mobile ad hoc networks. In Proceedings of the Q2SWinet, New York, pp. 55-62 (2005)... 

Aggelou, G., TafazoUi, R., RDMAR A Bandwidth-efficient Routing Protocol for Mobile Ad Hoc Networks, ACM International Workshop on Wireless Mobile Multimedia (WoWMoM), 1999, pp. 26-33. Balakrishnan, H., Padmanabhan, V.N., Seshan, S., Katz, R.H.A, A Comparison of Mechanisms for Improving TCP Performance over Wireless Links, IEEE/ACM Trans, on Networking, vol. 5, No. 6,... 

ACM Intern. Symp. On Mobile Ad Hoc Networking and Computing (MobiHoc), June 2002. Bluetooth SIG, Specification of the Bluetooth System, vol. 1.0,1999, available at http //www.bluetooth. 

Holland, G. and Vaidya, N., Analysis of TCP Performance over Mobile Ad Hoc Networks, Wireless Networks, Kluwer Academic Publishers, vol. 8, pp. 275 288, 2002. 

Joa-Ng, M. and Lu, I.-T., A Peer-to-peer Zone-based Two-level Link State Routing for Mobile Ad Hoc Networks, IEEE Journal on Selected Areas in Communications 17, vol. 8, pp. 1415-1425,1999. 

Johnson, D., Maltz, D., and Jetcheva, J., The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks, Internet Draft, draft-ietf-manet-dsr-07.txt, 2002. 

Ko, Y.-B., Vaidya, N.H., Location-aided Routing (LAR) in Mobile Ad Hoc Networks, Proceedings of the Fourth Annual ACM/IEEE International Conference on Mobile Computing and Networking (Mobicom 98), Dallas, TX, 1998. 

Nikaein, N., Laboid, H., and Bonnet, C., Distributed Dynamic Routing Algorithm (DDR) for Mobile Ad Hoc Networks, Proceedings of the MobiHOC 2000 First Annual Workshop on Mobile Ad Hoc Networking and Computing, 2000. 

In the literature, localization is approached using supervised and unsupervised communication paradigms. In the first case, a centralized supervisor (i.e., abase station) collects all the data coming from the robots and provides an estimate for the pose of the whole team. In the second approach, each robot runs a local algorithm to estimate its pose, using only its own sensors and shares data with its neighbors following the Mobile Ad hoc NETwork (MANET) model. 

The mobility of wireless networks has been widely investigated. However, mostofthese papers focus more on random rather than controlled mobility (Jardosh, 2003). Controlled mobility is now a research area of mobile ad hoc networks (Bracka, et al., 2005). In the following research, the network commimication has been addressed from different perspectives, without following any of these characteristics of mobility would be expected to have in our proposed scenarios. 

Jardosh, E. M. B.-R, Almeroth, K. C., Suri, S. (2003). Towards realistic mobility models for mobile ad hoc networks. Paper presented at the 9th Annual International Conference on Mobile Computing and Networking. New York, NY. 

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