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<SDH> <Name> <RF <Network <Status/>/>/> </Name> <Rule> <Condition> <Status> S1 <Time> X </Time> <Place> L </Place> </Status> & <Status> S2 <Time> Y </Time> <Place> L </Place> </Status> & Y>X </Condition> <Action> <Believe> <Status> S2 </Status> </Believe> </Action> If location L is Gamla Stan, then the heuristic guides the radio to believe S2 (e.g. WLAN is up) in Gamla Stan. If later AACRs report the WLAN to be down, then the <Self/> believes the new status. 8.7.3.2 Collaboratively Exploiting Spatial Knowledge Of course, GPS receivers enable the rote services of displaying the location to the user and plotting the position on a map. An AACR autonomously uses location, for example, to check its equalizer with a rule such as the following PROLOG rule from Kokar s ontology-based radio (OBR) [88]:

The Canadian seemed completely willing to help and replied happily: Not really What works on the four-hour ought to work on the daily But you should go back in time and test it to make sure That seemed reasonable to me, although I had no idea how I might go about doing such testing I was going to ask another question, but the Canadian beat me to it: If you re going to trade from the daily, you re really going for the bigger moves That s where you can get a big piece of the action, if you can ride along for the swings A lot of traders here are taking a harder look at the long-term charts for that reason More profit, less work.

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8.1 INTRODUCTION In the last few years, there has been much research activity in mobile (wireless) ad hoc networks (MANETs). MANETs are infrastructureless, and nodes in the networks are constantly moving. In MANETs, nodes can directly communicate with each other if they enter each other s communication range. A node can terminate packets or forward packets (serve as a relay). Thus, a message traverses an ad hoc network by being relayed from one node to another, until it reaches its destination. As nodes are moving, this becomes a challenging task, since the topology of the network is in constant change. How to nd a destination, how to route to that destination, and how to ensure robust communication in the face of constant topology change are major challenges in mobile ad hoc networks. Routing in mobile ad hoc networks is a well-studied topic. To accommodate the dynamic topology of mobile ad hoc networks, an abundance of routing protocols have recently been proposed, such as OLSR [1], AODV [2], DSR [3], LAR [4], EASE [5, 6], ODMRP [7], and many others [8, 9]. For all these routing protocols, it is implicitly assumed that the network is connected and there is a contemporaneous end-to-end path between any source and destination pair. However, in a physical ad hoc network, the assumption that there is a contemporaneous end-to-end path between any source and destination pair may not be true as illustrated below. In MANETs, when nodes are in motion, links can be obstructed by intervening objects. When nodes must conserve power, links are shut down periodically. These events result in intermittent connectivity. At any given time, when no path exists between source and destination, network partition is said

checkPerformance(X) :-equalizerError(E), pv(obr8upperPerformanceThreshold, object8MonitorServiceDispatch, UPt), pv(obr8lowerPerformanceThreshold, object8MonitorServiceDispatch, LPt), compare( > E, LPt), , compare( < E, UPt), assign( Continue , X). ,

Algorithms and Protocols for Wireless and Mobile Ad Hoc Networks, Edited by Azzedine Boukerche Copyright 2009 by John Wiley & Sons Inc.

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This PROLOG rule advises the OBR that if its equalizer error E is out of bounds, it should do something about it. Since this rule may re at any time, the reaction of negotiating equalizer training sequences with the host wireless network may be initiated at any place or time. In Kokar s scheme, the OBR may try to x the performance problem by switching to its most computationally expensive and best performing equalizer, but if that fails, it tries to negotiate a longer training sequence with the host network. Suppose the host wireless network knows how to embed a longer training sequence in a GSM burst but has not recently been asked to do this. It could take minutes before the enhanced sequence mode is available, rendering the strategy ineffective. Even if the network has such a mode ready to initiate when asked, a few frames of delay may render the call disconnected, defeating the strategy. Now suppose that the OBR also has spatial knowledge. When it queries the CWN for directions from the Royal Viking to dinner in Gamla Stan, it detects a bridge crossing plus water as Rayleigh fade problems across the water [170]. It may nd that other AACRs experience dropped calls unless they use the extended training sequence via SKOs that re ect this experience. If the AACR installs the extended training sequence at the Royal Viking, then it wastes bandwidth and power for no bene t. Space time planning over the SKOs can infer this implication of changing to the extended

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