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46. C. E. Perkins and P. Bhagwat. Highly dynamic destination-sequenced distance-vector routing (DSDV) for mobile computers. In Proceedings of the Conference on Communications Architectures, Protocols and Applications, ACM Press, New York, 1994, pp. 234- 244. 47. T. Clausen and P. Jacquet. Optimized Link State Routing Protocol (OLSR). http://www.ietf. org/rfc/rfc3626.txt, October 2003. Experimental RFC. 48. C. E. Perkins, E. M. Belding-Royer, and S. R. Das. Ad hoc On-Demand Distance Vector (AODV) Routing. Request for Comments, http://www.ietf.org/rfc/rfc3561.txt, July 2003. Experimental RFC. 49. C. Cordeiro, S. R. Das, and D. P. Agrawal. COPAS: Dynamic contention-balancing to enhance the performance of TCP over multi-hop wireless networks. In Proceedings of the 10th International Conference on Computer Communication and Networks (IC3N), 2002, pp. 382 387. 50. K. Xu, M. Gerla, and S. Bae. How effective is the IEEE 802.11 RTS/CTS handshake in ad hoc networks In Global Telecommunications Conference, 2002. GLOBECOM 02, Vol. 1, November 2002, pp. 72 76. 51. E.-S. Jung and N. H. Vaidya. A power control MAC protocol for ad hoc networks. In Proceedings of the eighth annual international conference on Mobile computing and networking, ACM Press, 2002, pp. 36 47. 52. E. Kohler, M. Handley, and S. Floyd. Datagram Congestion Control Protocol. Internet Draft, http://www.ietf.org/rfc/rfc4340.txt, March 2006. Standards Track. 53. J. Postel. User Datagram Protocol. Internet Draft, http://www.ietf.org/rfc/rfc768.txt, August 1980. Standards Track. 54. V. Jacobson, R. Braden, and D. Borman. TCP Extensions for High Performance. Internet Draft, http: //www.ietf.org/rfc/rfc1323.txt, May 1992. Request for Comments.

Huffman coding assigns the shortest codes to the most common strings of a communication [218]. So although the statistical structure of text communications often is not made available to the control system of the radio, it often is computed in the process of coding communications for ef cient transmission. <Histogram/> operations on the speech phrases in a scene reveal the statistical structure of <Topic/>, enabling the iCR to associate dialog topic with location, building the information landscape in SKOs. 8.8.4 Associative Information Landscape

Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong

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I spent as much time as possible walking in between lawyers offices and the filing area: We had 145 attorneys at the time, and I could waste a good 25 minutes on the way to a lawyer s office I still finished all the work that I was supposed to do What got me the job in the first place was a pretty well connected father Mine, to be exact Harold Banes Sr worked in the New York Metropolitan Transit Authority He wasn t an engineer He didn t dig tunnels or do anything cool like that either He was a janitor.

On the global plane of the spatial hierarchy, the user is one of millions of others moving from place to place. The global patterns are represented in statistical aggregates. A given AACR and user interact with the global level of the information landscape in unique ways. For example, a travel itinerary may de ne sequence of <Scenes/> across regions of the global plane such as airports, hotels, car-rental lots, and the like. Some AACRs may experience the global plane regularly because of the travel patterns of the owners, while others may not experience them at all. The SKOs re ect these differences as the AACRs extract information content, associate it with radio tasks, and employ it in a timely way. Table 8-6 shows a ow of associations made through the heuristic evolution of SKOs, populated with associations of the <Information-landscape/> discovered while interacting with <Global/> plane <Scenes/> at Dulles Airport. Initially, the AACR knows only the most generic facts about airports. When approaching Dulles for the rst time, SDH retrieves a new SKO for <Dulles/>, which makes the transition from a conceptual <Abstraction/> to the <Self/> to an experiential SKO. Entering the airport, the AACR detects Check-in as a topic of conversation, so it seeks wireless and check-in, nding new wireless check-in kiosks similar to today s mechanical kiosks where passengers must physically enter credit cards and physically push buttons. The AACR advises the user that WLAN check-in is available with directions to the WLAN kiosk. One check-in topic is seating, so the AACR generates a message on the WLAN to change the seats so the owner and spouse can sit together

11.1 INTRODUCTION With the proliferation of portable wireless terminals, wireless ad hoc networks have attracted signi cant attentions in recent years as a method to provide data communications among these terminals without support from infrastructure. Nodes in a wireless ad hoc network operate not only as hosts but also as routers, forwarding packets on behalf of other nodes whose destinations are not in their direct transmission range. Such network is self-con gured; that is, nodes in the network automatically establish and maintain connectivity with other nodes. In this way, exible and untethered multihop communications are allowed, which is useful in many applications, such as battle eld communication and disaster recovery. Transmission power control problem in wireless ad hoc networks is the selection of transmit power level for packet transmission at each node in a distributed manner [1]. The transmit power determines the signal strength at the receiver, the transmission range, and the interference it creates for other receivers in the network. Therefore, transmission power control affects the sharing of wireless medium, thereby affecting many aspects of the operation of wireless ad hoc networks. For example, transmission power control can determine the contention region at the MAC layer, determine the set of candidate nodes for next-hop selection in routing protocols, and affect the operation of congestion control in the transport layer by affecting the congestion level of wireless medium.

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