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[72] N.H. Vaidya, P. Krishna, M. Chatterjee and D.K. Pradhan, A cluster-based approach for routing in dynamic networks, ACM Comput. Commun. Rev., vol. 27, no. 2, 1997. [73] R. Ramanathan and M. Steenstrup, Hierarchically-organized, multihop mobile wireless networks for quality-of-service support, Mobile Networks Applic., vol. 3, no. 1, 1998, pp. 101 119. [74] A.B. McDonald and T.F. Znati, A Mobility-based framework for adaptive clustering in wireless ad hoc Networks, IEEE J. Selected Areas Commun., vol. 17, No. 8, 1999, pp. 1466 1488. [75] D.J. Baker and A. Ephremides, The architectural organization of a mobile radio network via a distributed algorithm, IEEE Trans. Commun., 1981, pp. 1694 1701. [76] D.J. Baker, J. Wieselthier and A. Ephremides, A distributed algorithm for scheduling the activation of links in a self-organizing, mobile, radio network, in Proc. IEEE ICC 82, pp. 2F.6.1 2F.6.5. [77] I. Chlamtac and S.S. Pinter, Distributed nodes organization algorithm for channel access in a multihop dynamic radio network, IEEE Trans. Comput., 1987, pp. 728 737. [78] M. Gerla and J. T.-C. Tsai, Multicluster, mobile, multimedia radio network, ACMBaltzer J. Wireless Networks, vol. 1, no. 3, 1995, pp. 255 265. [79] A.B. McDonald and T. Znati, Performance evaluation of neighbour greeting protocols: ARP versus ES-IS, Comput. J., vol. 39, no. 10, 1996, pp. 854 867. [80] P. Beckmann, Probability in Communication Engineering. Harcourt Brace World: New York, 1967. [81] Y. Hu and D.B. Johnson, Caching strategies in on-demand routing protocols for wireless ad hoc networks, in Proc. MobiCom 2000, August 2000, pp. 231 242. [82] D.B. Johnson and D.A. Maltz, Dynamic source routing in ad hoc wireless networks, www.ietf.org/internet-drafts/ draft-ietf-manet-dsr-03.txt, IETF Internet Draft (work in progress), October 1999. [83] M.K. Marina and S.R. Das, Performance of route cache strategies in dynamic source routing: Proc. Second Wireless Networking and Mobile Computing (WNMC), April 2001. [84] D. Maltz, J. Broch, J. Jetcheva and D.B. Johnson, The effects of on-demand behavior in routing protocols for multi-hop wireless ad hoc networks, IEEE J. Selected Areas in Commun., Special Issue on Mobile and Wireless Networks, August 1999. [85] S. Chen and K. Nahrstedt, Distributed quality-of-service routing in ad hoc Networks, IEEE J. Selected Areas Commun., vol. 17, no. 8, August 1999, pp. 1488 1505. [86] H.F. Soloma, S. Reeves and Y. Viniotis, Evaluation of multicast routing algorithms for real-time communication on high-speed networks, IEEE J. Selected Area Commun. vol. 15, no. 3, 1997, pp. 332 345. [87] I. Cidon, R. Ram and V. Shavitt, Multi-path routing combined with resource reservation,: IEEE INFOCOM 97, Japan, April 1997, pp. 92 100. [88] S. Chen and K. Nahrstedt, An overview of quality-of-service routing for the next generation high-speed networks: problems and solutions, IEEE Networks, Special Issue on Transmission and Distribution of Digital Video, November/December 1998, pp. 64 79.
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14.1 INTRODUCTION A sensor network is composed of a large number of sensor nodes, which are densely deployed either inside the phenomenon they are observing, or very close to it. Most of the time the nodes are randomly deployed in inaccessible terrains or disaster relief operations. This also means that sensor network protocols and algorithms must possess self-organizing capabilities. Another unique feature of sensor networks is the cooperative effort of sensor nodes. Sensor nodes are tted with an on-board processor. Instead of sending the raw data to the nodes responsible for the fusion, sensor nodes use their processing abilities to locally carry out simple computations and transmit only the required and partially processed data. The above described features ensure a wide range of applications for sensor networks. Some of the application areas are health, military and security. For example, the physiological data about a patient can be monitored remotely by a doctor. While this is more convenient for the patient, it also allows the doctor to better understand the patient s current condition. Sensor networks can also be used to detect foreign chemical agents in the air and the water. They can help to identify the type, concentration and location of pollutants. In essence, sensor networks will provide the end user with intelligence and a better understanding of the environment. It is expected that, in future, wireless sensor networks will be an integral part of our lives, even more than the present-day personal computers. Realization of these and other sensor network applications require wireless ad hoc networking techniques. Although many protocols and algorithms have been proposed for traditional wireless ad hoc networks, as described in 13, they are not well suited for the unique features and application requirements of sensor networks. To illustrate this point, the differences between sensor networks and ad hoc networks (see 13, and
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