Book ChapterDOI
A Simple Data Compression Algorithm for Wireless Sensor Networks
Jonathan Gana Kolo,Li-Minn Ang,S. Anandan Shanmugam,David Wee Gin Lim,Kah Phooi Seng +4 more
- pp 327-336
TLDR
This paper proposes a simple lossless data compression algorithm that uses multiple Huffman coding tables to compress WSNs data adaptively and demonstrates the merits of the algorithm in comparison with recently proposed LEC algorithm using various real-world sensor datasets.Abstract:
The energy consumption of each wireless sensor node is one of critical issues that require careful management in order to maximize the lifetime of the sensor network since the node is battery powered. The main energy consumer in each node is the communication module that requires energy to transmit and receive data over the air. Data compression is one of possible techniques that can reduce the amount of data exchanged between wireless sensor nodes. In this paper, we proposed a simple lossless data compression algorithm that uses multiple Huffman coding tables to compress WSNs data adaptively. We demonstrate the merits of our proposed algorithm in comparison with recently proposed LEC algorithm using various real-world sensor datasets.read more
Citations
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Journal ArticleDOI
Fast and efficient lossless adaptive compression scheme for wireless sensor networks
TL;DR: A fast and low memory data compression scheme is proposed for WSNs which performs compression losslessly using 8 variable-length code options and is efficient and requires no coding dictionary.
Journal ArticleDOI
Sequence Statistical Code Based Data Compression Algorithm for Wireless Sensor Network
S. Jancy,C. Jayakumar +1 more
TL;DR: Sequence statistical code based data compression algorithm is being proposed to improve the energy efficiency of sensors by using SDC and FOST codes in order to achieve better compression ratio.
Proceedings ArticleDOI
Balancing Power Consumption in IoT Devices by Using Variable Packet Size
M. Domingo Prieto,Borja Martinez,Marius Monton,I. Vilajosana Guillen,X. Vilajosana Guillen,J. Arnedo Moreno +5 more
TL;DR: This paper analyzes the mote behaviour on a real IoT network and uses the extracted data to propose a mechanism to distribute the power consumption more equally between all motes, regardless the number of messages each one sends.
Journal ArticleDOI
Data Uploading Strategy for Underwater Wireless Sensor Networks
TL;DR: By analyzing the data similarity, the quality of network communication, and uploading energy consumption, the decision-making strategy provides an energy-efficient data upload strategy for underwater nodes, which reduces the energy consumption in various network settings.
Journal ArticleDOI
An Efficient Approach for Representing and Sending Data in Wireless Sensor Networks
TL;DR: The proposed approach is based on only transmitting the difference between the current sensed reading value and the previous reading value that is represented by the least number of bits instead of the new reading value itself, which reduces the energy consumption of sensor nodes and prolongs the sensor network lifetime.
References
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Proceedings ArticleDOI
Energy-efficient communication protocol for wireless microsensor networks
TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.
Energy-efficient communication protocols for wireless microsensor networks
TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
Journal ArticleDOI
Wireless sensor network survey
TL;DR: This survey presents a comprehensive review of the recent literature since the publication of a survey on sensor networks, and gives an overview of several new applications and then reviews the literature on various aspects of WSNs.
Journal ArticleDOI
Medium access control with coordinated adaptive sleeping for wireless sensor networks
TL;DR: This paper proposes S-MAC, a medium access control (MAC) protocol designed for wireless sensor networks that enables low-duty-cycle operation in a multihop network and reveals fundamental tradeoffs on energy, latency and throughput.
Journal ArticleDOI
Energy conservation in wireless sensor networks: A survey
TL;DR: This paper breaks down the energy consumption for the components of a typical sensor node, and discusses the main directions to energy conservation in WSNs, and presents a systematic and comprehensive taxonomy of the energy conservation schemes.