MAC Protocols for optimal information retrieval pattern in sensor networks with mobile access
EURASIP Journal on Wireless Communications and Networking
IEEE Transactions on Information Theory
The impact of quasi-equally spaced sensor topologies on signal reconstruction
ACM Transactions on Sensor Networks (TOSN)
IEEE Transactions on Wireless Communications
Random field estimation with delay-constrained and delay-tolerant wireless sensor networks
EURASIP Journal on Wireless Communications and Networking - Special issue on signal processing-assisted protocols and algorithms for cooperating objects and wireless sensor networks
Exploiting spatial correlation at the link layer for event-driven sensor networks
International Journal of Sensor Networks
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We analyze the impact of data retrieval pattern on the reconstruction performance of a one-dimensional homogeneous random field measured by a large-scale sensor network. From a networking perspective, we connect data retrieval protocols and different sampling schemes. Specifically, we show that the data retrieval pattern affects the efficiency of reconstruction; as the number of received packets M increases, the deterministic retrieval pattern that schedules sensors to transmit from equally spaced locations results in a faster decay of distortion than the random pattern does. In particular, we show that the ratio of the excess reconstruction distortion under the random retrieval pattern to that under the deterministic one grows as logM+O(loglogM). Comparing the reconstruction performance directly, we further show that, in the high measurement signal-to-noise ratio (SNR) regime, the benefit from carefully scheduling sensor transmissions from specific locations instead of collecting in a random fashion is substantial. In the low SNR regime, however, using the random pattern results in little reconstruction performance loss. Finally, as Mrarrinfin, we show the strong convergence property of reconstruction distortion under the random pattern