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Jess detects that rule-1 could be activated to get advice on RF if there were an appropriate <RF/> fact, so it asserts (need-<RF/> nil nil nil). This matches part of the LHS of rule create-<RF/> that cannot re for want of a BLoS-distance fact. The constraint will check to see if the distance between X and Y is greater than a BLoS-distance threshold of 40 km and less than the upper limit of 100 km. Jess therefore asserts (need-BLoS-distance nil nil nil). This matches the LHS of the rule create-BLoSdistance, which res to assert (BLoS-distance <Self/> <Otherradio/> 63), and 63 exceeds the range for LoS, but is within the range of D-layer scattering. This fact activates create-<RF/>, which res, asserting (<RF/> 30 60), thereby activating rule-1, which then res to advise the AACR to set RF between 30 and 60 MHz. Such rules could be embedded in the Plan component of the CRA. JessAgent [203] shows how to implement reasoning in a JADE application via the JESS engine (JESS 5.1). When a message from another agent arrives, a new fact is asserted, so a rule de ned in the JadeAgent.clp responds to the sender. The example also uses Jade classes Cyclic Behavior and ACL Message, illustrating techniques for linking the reasoning of one AACR to a CWN. JESS and other embeddable expert system shells can implement radiodomain skills. The following rule includes advanced features, such as expressing uncertainty: If the style (attribute) of the radio-station (entity) is rap (value of attribute) => then it might (20%) be an-enjoyable-station (classi cation decision) (8-8)

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A Chockalingam, M Zorzi, and V Tralli Wireless TCP performance with link layer FEC/ARQ In IEEE ICC, 1999, pp 1212 1216 10 D Berger, Z Ye, P Sinha, S Krishnamurthy, M Faloutsos, and S Tripathi TCP friendly medium access control for ad-hoc wireless networks In IEEE MASS, 2004 11 H Zhai, X Chen, and Y Fang Alleviating Intra- ow and inter- ow contentions for reliable service in mobile ad hoc networks In IEEE MILCOM, 2004 12 K Chen, Y Xue, and K Nahrstedt On setting TCP s congestion window limit in mobile ad hoc networks In IEEE International Conference on Communications (ICC 2003), Vol 26, May 2003, pp 1080 1084 13 R Ludwig and R H Katz The Eifel algorithm: Making TCP robust against spurious retransmissions In SIGCOMM Computer Communication Review, 30(1):30 36, 2000 14 L S Brakmo, S W O Malley, and L L Peterson.

The user s value judgments on radio stations expressed in Equation (8-8) may be organized into the following hierarchy: Radios [Organic Wireless Connectivity Ports] Cell Phone [Mobile Cellular Network Services] Radio Stations [AM/FM Broadcast] Good radio stations (3%) Enjoyable radio stations (20%) Informative radio stations (20%) Cool radio stations (60%) Bad radio stations (97%) If it is not good radio station , then it is bad radio station The hard part is the autonomous learning of these value judgments The iCR should accurately infer when the user is expressing a preference Users don t want to be a slave to the radio Do you No, of course not Users do not willingly ll out user pro les, so the CRA envisions prototypical situations that can be reliably detected by an algorithm that reliably infers preferences, reasoning by analogy with what is already known, bootstrapping new knowledge in terms of old.

TCP Vegas: New techniques for congestion detection and avoidance SIGCOMM Computer Communication Review, 24(4): 24 35, 1994 15 C Casetti, M Gerla, S Mascolo, M Y Sanadidi, and R Wang TCP Westwood: Endto-end congestion control for wired/wireless networks Wireless Networks, 8(5):467 479, 2002 16 K Xu, Y Tian, and N Ansari TCP-Jersey for wireless IP communications IEEE Journal on Selected Areas in Communications, 22(4):747 756, 2004 17 J Mo, R J La, V Anantharam, and J Walrand Analysis and comparison of TCP Reno and Vegas In IEEE INFOCOM, 1999, pp 1556 1563 18 D D Clark and W Fang Explicit allocation of best-effort packet delivery service IEEE/ACM Transactions on Networking, 6(4):362 373, 1998 19 Z Fu, B Greenstein, X Meng, and S Lu Design and Implementation of a TCP-Friendly Transport Protocol for Ad Hoc Wireless networks In Proceedings of IEEE ICNP, 2002 20 K Chandran, S Raghunathan, S.

CR1 codi es knowledge in serModels that have features of embedded expert systems Individual serModels have only shallow reasoning without supporting data structures or rule sets Nevertheless, serModels organized into an associative perception hierarchy can learn responses to relatively complex stimulus sets, as shown in Table 8-3 Since CR1 detects RSSI, BER, light level, and temperature from different sensors, and since it always aggregates contemporaneous stimuli as features of a scene, it can be taught to recognize the relatively complex situation in which the SDR waveform is reporting low RSSI and high BER while the light level is decreasing and the temperature is rising (when outside in ambient less than 70 F) Those conditions trigger the radio to turn on the WLAN system, searching for an alternative to the cellular system that may soon be lost.

Venkatesan, and R Prakash A feedback based scheme for improving TCP performance in ad-hoc wireless networks In Proceedings of ICDCS, 1998, pp 472 479 21 J Liu and S Singh ATCP: TCP for mobile ad hoc networks JSAC, 2001..

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