Cell-based snapshot and continuous data collection in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Continuous data aggregation and capacity in probabilistic wireless sensor networks
Journal of Parallel and Distributed Computing
IEEE/ACM Transactions on Networking (TON)
Approximation algorithms for load-balanced virtual backbone construction in wireless sensor networks
Theoretical Computer Science
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The performance of data collection in Wireless Sensor Networks (WSNs) can be measured by network capacity. However, few existing works dedicatedly consider the Continuous Data Collection (CDC) capacity for WSNs under the protocol interference model. In this paper, we propose a multipath scheduling algorithm for SDC in single-radio multichannel WSNs and derive its network capacity which is a tighter lower bound compared with the previously best result [CHECK END OF SENTENCE]. We also propose a novel CDC method for dual-radio multichannel WSNs. It significantly speeds up the data collection process, and achieves a capacity of {nW\over 12M\lceil (3.63\rho^2 + c_3 \rho + c_4)/H \rceil } when \Delta_e\le 12 or {nW\over M\Delta_e\lceil (3.63\rho^2 + c_3 \rho + c_4)/H \rceil } when \Delta_e 12, where n is the number of the sensors, M is a constant value and usually M \ll n, \Delta_e is the maximum number of the leaf nodes having a same parent in the data collection tree, W is the channel bandwidth, H is the number of available orthogonal channels, \rho is the ratio of the interference radius over the transmission radius, c_3 = {8\pi \over \sqrt{3}} + \pi + 2, and c_4 = {8\pi \over \sqrt{3}} + 2\pi + 6. Extensive simulation results indicate that the proposed algorithms improve network capacity significantly compared with existing works.