Energy-aware lossless data compression
ACM Transactions on Computer Systems (TOCS)
Data Gathering with Tunable Compression in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
General Network Lifetime and Cost Models for Evaluating Sensor Network Deployment Strategies
IEEE Transactions on Mobile Computing
Mitigation of compromising privacy by transmission range control in wireless sensor networks
IEEE Communications Letters
Maximizing lifetime of event-unobservable wireless sensor networks
Computer Standards & Interfaces
Information Sciences: an International Journal
A survey of visual sensor network platforms
Multimedia Tools and Applications
Neighbor sensor networks: Increasing lifetime and eliminating partitioning through cooperation
Computer Standards & Interfaces
Prolonging wireless sensor network lifetime in stealth mode through intelligent data compression
Proceedings of the 10th ACM symposium on Performance evaluation of wireless ad hoc, sensor, & ubiquitous networks
Computer Standards & Interfaces
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In this letter, we present a Linear Programming framework for modeling dynamic data compression and decompression in conjunction with flow balancing in wireless sensor networks. Using the developed framework, we investigated the sensor network lifetimes for different network sizes with various data compression and flow balancing strategies. Our results show that neither compressing all data nor avoiding data compression completely can achieve the longest possible network lifetime. Dynamic data transformation is shown to achieve significantly longer network lifetimes than the lifetimes obtained with the two pure strategies above.