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Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

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338 <strong>Wireless</strong> <strong>Ad</strong> <strong>Hoc</strong> <strong>and</strong> <strong>Sensor</strong> <strong>Networks</strong>TABLE 7.4Delay Comparison[sec] Flow 1 Flow 2 Flow 3 Flow 4 Flow 5 OverallADFS mean 11.24 11.41 11.69 11.56 11.30 11.44st<strong>and</strong>ard 1.011 1.167 1.068 1.015 0.834 0.17FIFO Mean 11.11 11.60 11.71 11.61 12.30 11.66st<strong>and</strong>ard 1.434 1.12 1.459 1.212 1.512 0.38In Table 7.4, the results for average end-to-end delay <strong>and</strong> its st<strong>and</strong>ardvariation (std) are shown. The mean delay values for both protocols aresimilar with ADFS, achieving smaller delay for four flows out of five flowswhen compared to the FIFO protocol with drop-tail queue <strong>and</strong> exponentialbackoff. Overall, the improvement of 2% in end-to-end delay isobserved for the ADFS scheme over the FIFO queue even though thereis an additional overhead with the proposed protocol. The advantage ofADFS is due to a fair allocation of radio resources because the ADFSselects a back off interval proportionally to a packet weight. Moreover,the st<strong>and</strong>ard deviation is higher in case of the FIFO-queued scheme dueto higher variation in the back off.The results show that the proposed protocol can achieve fair allocationof b<strong>and</strong>width with a 13.3% increase in throughput, slightly lower endto-enddelays, <strong>and</strong> delay variations reduced by 55% (st<strong>and</strong>ard), resultingin a better QoS. This shows the ability of the ADFS scheduler to beeffectively applied to WSN systems to enhance network performance.7.5.5 Future Direction for the MotesFuture work on the UMR <strong>and</strong> SLU motes includes increased capabilitiesfor RF communications, memory density, <strong>and</strong> efficient networking implementations.Specifically, a discussion of the current state <strong>and</strong> direction ofthe RF communication module is now given. Currently, a MaxstreamXBee module is used to implement the RF layer of the G4-SSN. Futureintroduction of the Chipcon CC2420 transceiver chipset to the G4-SSN isnow being developed at UMR. With this introduction, several advantagesare perceived. The primary perceived advantage is direct access to thephysical layer in terms of parameter access <strong>and</strong> control. For example,direct <strong>and</strong> real-time sensing of channel access (CA) state will reduce backoff interval slots. Next, power savings are expected with the CC2420 onthe order of 62%. <strong>Ad</strong>ditionally, more finely adjustable RF transmissionpower levels will allow for DPC in the WSN. The CC2420 also providesa smaller physical footprint to enable higher level of integration <strong>and</strong>miniaturization. Finally, the subsequent frame-processing step on theXBee is avoided, <strong>and</strong> frames are passed directly to the transceiver.

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