Elements of information theory
Elements of information theory
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Smart Environments: Technology, Protocols and Applications (Wiley Series on Parallel and Distributed Computing)
Multicriteria Optimization
Rate allocation and network lifetime problems for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
On the lifetime of wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Underground coal mine monitoring with wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Source-channel communication in sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
A Data Processing and Analysis Testbed for WSNs: Design and Implementation
CMC '11 Proceedings of the 2011 Third International Conference on Communications and Mobile Computing
Noiseless coding of correlated information sources
IEEE Transactions on Information Theory
Error analysis of range-based localisation algorithms in wireless sensor networks
International Journal of Sensor Networks
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Energy-efficient transmission and bit allocation schemes are investigated in multi-source single-sink Wireless Sensor Networks (WSNs). For transmission over Additive White Gaussian Noise (AWGN) channels with path loss, this work shows that the overall energy consumption can be minimised if each sensor transmits with the minimum power and cooperates with others in Time-Division Multiple Access (TDMA) mode. From the efficient correlated source coding perspective, the Slepian-Wolf coding theorem is applied. Jointly considering the two aspects, we propose a closed form bit allocation scheme to minimise the overall energy consumption. The underlying idea is to assign more bits to nodes with better channel conditions. Additionally, based on the definition of network lifetime as the time before the first sensor fails, we further maximise the network lifetime by developing a heuristic algorithm to balance energy consumption among sensors. The superiority of the proposed scheme is validated by both analytical and simulation results.