Recursive estimation and time-series analysis: an introduction
Recursive estimation and time-series analysis: an introduction
Wireless integrated network sensors
Communications of the ACM
Exposure in wireless Ad-Hoc sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Efficient tracing of failed nodes in sensor networks
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
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
TAG: a Tiny AGgregation service for ad-hoc sensor networks
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
Distributed localization in wireless sensor networks: a quantitative comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
Spatio-temporal correlation: theory and applications for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: In memroy of Olga Casals
Prediction-based monitoring in sensor networks: taking lessons from MPEG
ACM SIGCOMM Computer Communication Review - Special issue on wireless extensions to the internet
MANNA: a management architecture for wireless sensor networks
IEEE Communications Magazine
International Journal of Sensor Networks
A survey of communication/networking in Smart Grids
Future Generation Computer Systems
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The lifetime of a Wireless Sensor Network (WSN) is generally limited by the battery lifetime of the sensor nodes. In this respect, efficient monitoring of the entire network's available energy is of great importance to take appropriate preventive actions. However, the physical limitations of WSNs, such as limited memory and energy resources, mandate such a monitoring mechanism to have low complexity and minimum energy dissipation. In this paper, a Forecasting-based Monitoring and Tomography (FMT) framework is presented for WSNs. The objective of the FMT framework is to achieve overall monitoring and to capture the tomography of the available energy in WSNs with minimum energy expenditure. To reduce the amount of energy consumed for monitoring purposes, the FMT framework incorporates available energy forecasting and network aggregation mechanisms. Comparative performance evaluations show that the FMT framework achieves accurate energy monitoring and obtains the network energy tomography of large scale WSNs with minimum energy consumption.