CDMA: principles of spread spectrum communication
CDMA: principles of spread spectrum communication
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
The impact of spatial correlation on routing with compression in wireless sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
The Art of Computer Programming, Volume 4, Fascicle 3: Generating All Combinations and Partitions
The Art of Computer Programming, Volume 4, Fascicle 3: Generating All Combinations and Partitions
Approximate Data Collection in Sensor Networks using Probabilistic Models
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Spatial correlation-based collaborative medium access control in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
IEEE Transactions on Parallel and Distributed Systems
IEEE/ACM Transactions on Networking (TON)
Source-channel communication in sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Network information flow with correlated sources
IEEE Transactions on Information Theory
Acquisition in direct-sequence spread-spectrum communication networks: an asymptotic analysis
IEEE Transactions on Information Theory
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This paper describes a novel approach for collaboration in WSN that substantially reduces energy expenditure in the network by exploiting spatial correlation among nodes. The idea behind the scheme is that the whole range of measurements is partitioned into individual intervals, with each interval assigned to a unique subset of nodes. Each node needs only to determine whether its measured value falls within its assigned interval and transmit a binary decision to the sink. The base station, after gathering the responses of sufficiently large number of nodes, calculates the actual measurement value. This division of responsibilities across the network nodes enables our scheme to utilize collaborative transmissions by spatially clustered and highly correlated nodes. While maintaining a similar distortion level, the proposed scheme achieves in the worst case close to a factor of 2 in energy savings, compared to the standard approach of transmission of the measurement by a single node. The results are derived analytically, evaluated numerically, and confirmed by simulations.