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Evaluating the Cost of Frequency Diversity in Communication and Routing Overview Jorge Ortiz* ♦ David Culler* Causes of Loss Pairs of nodes sharing a vertex may not share a common communication channel 2 Transmissions necessary for either multiple frequency transmission of multihop routing How much do we need frequency diversity? Goal: pin down view of the network under various levels of external interference Examine the various factors that cause loss Observe and quantify how routing diversity can improve communication efficiency and robustness 802.11 may not interfere as much as we think Find a good channel and stick to it Establish channel and connectivity comparison metrics Methodology Peak hours see the highest average noise floor in the mid- afternoon between 4pm-4:15pm Most channels are free most of the time throughout the entire network On channel 17 in the worst time interval, only 21% of the samples are greater than -77 dBm (the default clear-to-send threshold CC2420 Radio) Plenty of opportunities for transmission by 802.15.4 motes Network-Wide Noise Observations Temporal Dynamics How do graphs change over time? What’s the distance between the best and worst network topologies? To what extent can we simply rely on route diversity, rather than frequency diversity, to improve communication efficiency? Do the quality of links necessarily get better? Current Results and Status Sufficient connectivity even during peak 802.11-traffic hours on worst channels 802.15.4 channels that do not overlap with 802.11 channels experience little change between peak traffic hours and quiet hours 802.11 channels are static and therefore the best 802.15.4 channels do not change Network topology (route diversity) may make the need for multiple channels irrelevant How do non-office environments look? Would link and connectivity behavior be similar? More sampling and experimentation What does this mean for MAC and Routing protocol design? Future Work RSSI (dBm) Peak Time Quiet Time Link Quality Comparison Interested in real networks: use traces Noise Monitoring: Wi-Spy Spectrum Analyzer and passive RSSI mote monitoring Connectivity: Round-robin 100-packet broadcasts with 20 ms inter-packet transmission interval on each of 16 channels 51-56 MicaZ motes 163,200 transmissions, 1,781,231 receptions 10 Access Points in Computer Science Building’s 4 th floor A B C 1 2 Internal Interference Collisions from cross traffic within nodes in the same network External Interference 802.11 traffic and devices that do not play nice with 802.15.4 Microwave oven, cordless phones, physical obstructions Radio irregularities Narrow-band fading Choose optimal routes in topology graph according to a route selection criteria Channel Grade (%)Duty Cycle 1181.780562.052778 1277.1253.958333 1375.897224.719444 1479.672232.977778 1582.138891.827778 1681.369452.230556 1778.711113.705555 1876.472224.627778 1980.641662.425 2083.419451.380556 2180.555562.411111 2278.530563.419445 2379.044443.405555 2481.416662 2583.972221.027778 2683.594441.172222 *{jortiz, culler}@cs.berkeley.edu; EECS UC Berkeley
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