Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
Distributed regression: an efficient framework for modeling sensor network data
Proceedings of the 3rd international symposium on Information processing in sensor networks
Compression techniques for wireless sensor networks
Wireless sensor networks
Lightweight Temporal Compression of Microclimate Datasets
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
On Real-Time Capacity Limits of Multihop Wireless Sensor Networks
RTSS '04 Proceedings of the 25th IEEE International Real-Time Systems Symposium
A Survey on Data Compression in Wireless Sensor Networks
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II - Volume 02
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Evolutionary Computation
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
An architecture for distributed wavelet analysis and processing in sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
Energy-aware lossless data compression
ACM Transactions on Computer Systems (TOCS)
Controllably Mobile Infrastructure for Low Energy Embedded Networks
IEEE Transactions on Mobile Computing
Data compression algorithms for energy-constrained devices in delay tolerant networks
Proceedings of the 4th international conference on Embedded networked sensor systems
RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
Data Compression: The Complete Reference
Data Compression: The Complete Reference
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Wireless Communications & Mobile Computing - Resources and Mobility Management in Wireless Networks
Decoupling data dissemination from mobile Sink's trajectory in wireless sensor networks
IEEE Communications Letters
High-resolution speech signal reconstruction in wireless sensor networks
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Strategies for data dissemination to mobile sinks in wireless sensor networks
IEEE Wireless Communications
Multiobjective evolutionary algorithms: a comparative case studyand the strength Pareto approach
IEEE Transactions on Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Information Theory
The rate-distortion function for source coding with side information at the decoder
IEEE Transactions on Information Theory
Differential pulse-code modulation (PCM) with entropy coding
IEEE Transactions on Information Theory
The Distributed Karhunen–Loève Transform
IEEE Transactions on Information Theory
On optimal entropy-constrained deadzone quantization
IEEE Transactions on Circuits and Systems for Video Technology
Effective vaccination policies
Information Sciences: an International Journal
An efficient data-centric storage method using time parameter for sensor networks
Information Sciences: an International Journal
A memetic algorithm for extending wireless sensor network lifetime
Information Sciences: an International Journal
Minimum perimeter coverage of query regions in a heterogeneous wireless sensor network
Information Sciences: an International Journal
Cost based in-network join strategy in tree routing sensor networks
Information Sciences: an International Journal
Tracking a moving object via a sensor network with a partial information broadcasting scheme
Information Sciences: an International Journal
Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions
Information Sciences: an International Journal
Natural Language Compression on Edge-Guided text preprocessing
Information Sciences: an International Journal
Fast decoding algorithms for variable-lengths codes
Information Sciences: an International Journal
Arranging cluster sizes and transmission ranges for wireless sensor networks
Information Sciences: an International Journal
Practical data compression in wireless sensor networks: A survey
Journal of Network and Computer Applications
BeeSensor: An energy-efficient and scalable routing protocol for wireless sensor networks
Information Sciences: an International Journal
Minimum connected cover of a query region in heterogeneous wireless sensor networks
Information Sciences: an International Journal
Proceedings of the 28th Annual ACM Symposium on Applied Computing
A framework for processing complex queries in wireless sensor networks
ACM SIGAPP Applied Computing Review
Information Sciences: an International Journal
ELACCA: Efficient Learning Automata Based Cell Clustering Algorithm for Wireless Sensor Networks
Wireless Personal Communications: An International Journal
Hi-index | 0.07 |
Nodes of wireless sensor networks (WSNs) are typically powered by batteries with a limited capacity. Thus, energy is a primary constraint in the design and deployment of WSNs. Since radio communication is in general the main cause of power consumption, the different techniques proposed in the literature to improve energy efficiency have mainly focused on limiting transmission/reception of data, for instance, by adopting data compression and/or aggregation. The limited resources available in a sensor node demand, however, the development of specifically designed algorithms. To this aim, we propose an approach to perform lossy compression on single node based on a differential pulse code modulation scheme with quantization of the differences between consecutive samples. Since different combinations of the quantization process parameters determine different trade-offs between compression performance and information loss, we exploit a multi-objective evolutionary algorithm to generate a set of combinations of these parameters corresponding to different optimal trade-offs. The user can therefore choose the combination with the most suitable trade-off for the specific application. We tested our lossy compression approach on three datasets collected by real WSNs. We show that our approach can achieve significant compression ratios despite negligible reconstruction errors. Further, we discuss how our approach outperforms LTC, a lossy compression algorithm purposely designed to be embedded in sensor nodes, in terms of compression rate and complexity.