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Ad Hoc Networks : Technologies and Protocols - University of ...

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Overview <strong>of</strong> the Chapters in this Book 19<br />

immediately since in ATP both source <strong>and</strong> destination TCP stacks are modified.<br />

The remaining schemes are feasible <strong>and</strong> should be carefully evaluated.<br />

Chapter 6: Energy conservation<br />

In ad hoc networks consisting <strong>of</strong> moving nodes (e.g. vehicles), energy conservation<br />

is generally not a critical issue. However, it clearly becomes a concern<br />

in sensor networks or in ad hoc networks where the time to discharge a<br />

“powered-on” node is less than the time between battery recharging opportunities.<br />

This chapter provides an excellent survey <strong>of</strong> the various techniques to<br />

conserve power, namely: power/topology control, energy routing, coordinated<br />

sleep <strong>and</strong> power save management. If we go back to our urban grid example,<br />

we note that cars have a practically unlimited reserve <strong>of</strong> energy. However,<br />

pedestrians do not, especially if they use 802.11 in their PDAs. If the PDA has<br />

multiple interfaces, say 802.11, ZigBee, cellular <strong>and</strong> Bluetooth, all the latter<br />

options are more attractive as “always - on” options instead <strong>of</strong> 802.11. In fact,<br />

radio interface selection could be yet another energy conservation strategy to<br />

add to the above list. Another important component in the urban grid is the<br />

environment sensor fabric. These sensors must interact with pedestrians <strong>and</strong><br />

cars (for example, a sensor field comes alive if a police car approaches). Thus,<br />

sensors (<strong>and</strong> pedestrians) must be scheduled in such a way that their interaction<br />

is most effective for a given recharge cycle. The schemes described in this<br />

chapter are an excellent start for the investigation <strong>of</strong> suitable sensor/pedestrian<br />

energy strategies,<br />

Chapter 7: Use <strong>of</strong> Smart Antennas in <strong>Ad</strong> <strong>Hoc</strong> <strong>Networks</strong><br />

Directive antennas are used for at least three reasons: extending range, folding<br />

jamming attacks <strong>and</strong> reducing the probability <strong>of</strong> detection. Smart antennas<br />

add another feature - the ability to transmit simultaneously on multiple beams.<br />

This chapter gives a brief overview <strong>of</strong> directional antennas. It then provides<br />

an exhaustive survey <strong>of</strong> the interaction between antenna beamforming, MAC<br />

protocols <strong>and</strong> routing protocols. It is in fact clear that, to take advantage <strong>of</strong><br />

antenna directionality, MAC <strong>and</strong> routing protocol changes are required. Are<br />

smart antennas going to have an impact on our urban grid network strategy. Absolutely!<br />

One can take advantage <strong>of</strong> the extended range <strong>of</strong> directional antennas<br />

to establish backbone links along the major boulevards, say. Also, if UAVs are<br />

used to assist in urban disaster recovery, directional antennas will do very well<br />

for ground to air <strong>and</strong> air to air links. One important issue indirectly addressed<br />

by this chapter is the coexistence <strong>of</strong> different MAC <strong>and</strong> routing protocols in the<br />

same network, since only part <strong>of</strong> the nodes will be capable <strong>of</strong> antenna beaming.<br />

In all, this chapter is an excellent start for an investigation <strong>of</strong> mixed antenna<br />

strategies in complex environments such as urban grids <strong>and</strong> battlefields.

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