Elements of information theory
Elements of information theory
Wireless integrated network sensors
Communications of the ACM
Simultaneous optimization for concave costs: single sink aggregation or single source buy-at-bulk
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Network correlated data gathering with explicit communication: NP-completeness and algorithms
IEEE/ACM Transactions on Networking (TON)
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
An Analytical Model for Wireless Sensor Networks with Sleeping Nodes
IEEE Transactions on Mobile Computing
Modeling spatially correlated data in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Immune system based distributed node and rate selection in wireless sensor networks
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
Exploiting data correlation for multi-scale processing in sensor networks
Proceedings of the 2nd international conference on Scalable information systems
Efficient fume diffusion spotting in heterogeneous sensor networks
Proceedings of the 1st ACM international workshop on Heterogeneous sensor and actor networks
Estimation of spatially distributed processes in wireless sensor networks with random packet loss
IEEE Transactions on Wireless Communications
Optimal stochastic policies for distributed data aggregation in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
The impact of quasi-equally spaced sensor topologies on signal reconstruction
ACM Transactions on Sensor Networks (TOSN)
DCOSS'07 Proceedings of the 3rd IEEE international conference on Distributed computing in sensor systems
Fusion coding of correlated sources for storage and selective retrieval
IEEE Transactions on Signal Processing
Spatial correlation-based mobile agent routing algorithm in wireless sensor networks
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Quality-aware sensor data collection
International Journal of Sensor Networks
Algorithms for sensor and ad hoc networks: advanced lectures
Algorithms for sensor and ad hoc networks: advanced lectures
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We consider sensor networks that measure spatio-temporal correlated processes. An important task in such settings is the reconstruction at a certain node, called the sink, of the data at all points of the field. We consider scenarios where data is time critical, so delay results in distortion, or suboptimal estimation and control. For the reconstruction, the only data available to the sink are the values measured at the nodes of the sensor network, and knowledge of the correlation structure: this results in spatial distortion of reconstruction. Also, for the sake of power efficiency, sensor nodes need to transmit their data by relaying through the other network nodes: this results in delay, and thus temporal distortion of reconstruction if time critical data is concerned. We study data gathering for the case of Gaussian processes in one- and two-dimensional grid scenarios, where we are able to write explicit expressions for the spatial and time distortion, and combine them into a single total distortion measure. We prove that, for various standard correlation structures, there is an optimal finite density of the sensor network for which the total distortion is minimized. Thus, when power efficiency and delay are both considered in data gathering, it is useless from the point of view of accuracy of the reconstruction to increase the number of sensors above a certain threshold that depends on the correlation structure characteristics.