scholarly journals A Sub-Clustering Algorithm Based on Spatial Data Correlation for Energy Conservation in Wireless Sensor Networks

Sensors ◽  
2014 ◽  
Vol 14 (11) ◽  
pp. 21858-21871 ◽  
Author(s):  
Ming-Hui Tsai ◽  
Yueh-Min Huang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Conservation ◽  
Spatial Data ◽  
Clustering Algorithm ◽  
Wireless Sensor ◽  
Data Correlation

An Energy-Efficient Layered Clustering Algorithm for Routing in Wireless Sensor Networks

2017 ◽  
Vol 8 (3) ◽  
pp. 43-66 ◽  
Author(s):  
Alphonse PJA ◽  
Sivaraj C ◽  
Janakiraman T N.
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Conservation ◽  
Energy Efficient ◽  
Clustering Algorithm ◽  
Transmission Rate ◽  
Clustering Algorithms ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Simulation Experiments

Efficient energy management is a key issue in battery equipped wireless sensor networks (WSNs). The cluster based routing in WSNs is a prominent approach for energy conservation of the network which provides a hierarchical data collection mechanism. In order to maximize the energy conservation of sensor nodes, this paper proposes an Energy-efficient Layered Clustering Algorithm (ELCA) for routing in wireless sensor networks. ELCA constructs two layers of clusters to reduce the transmission rate and to balance the energy consumption of sensors. As early energy depletion of clusterheads (CHs) is a major limitation in clustering, this algorithm provides local remedy for energy suffering CHs through efficient CH substitution scheme. The performance of the proposed algorithm is analysed through extensive simulation experiments and verified by compared results with existing clustering algorithms.

scholarly journals Robust Data Compression for Irregular Wireless Sensor Networks Using Logical Mapping

2013 ◽  
Vol 2013 ◽  
pp. 1-18 ◽  
Author(s):  
Thanh Dang ◽  
Nirupama Bulusu ◽  
Wu-chi Feng
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Compression ◽  
Spatial Data ◽  
Original Data ◽  
Wireless Sensor ◽  
Discrete Wavelet ◽  
Data Correlation ◽  
Real World Data ◽  
Logical Mapping

We propose RIDA, a novel robust information-driven data compression architecture for distributed wireless sensor networks. The key idea is to determine the data correlation among a group of sensors based on the data values to significantly improve compression performance rather than relying solely on spatial data correlation. A logical mapping approach assigns virtual indices to nodes based on the data content, which enables simple implementation of data transformation on resource-constrained nodes without any other information. We evaluate RIDA with both discrete cosine transform (DCT) and discrete wavelet transform (DWT) on publicly available real-world data sets. Our experiments show that 30% of energy and 80–95% of bandwidth can be saved for typical multihop data networks. Moreover, the original data can be retrieved after decompression with a low error of about 3%. In particular, for one state-of-the-art distributed data compression algorithm for sensor networks, we show that the compression ratio is doubled by using logical mapping while maintaining comparable mean square error. Furthermore, we also propose a mechanism to detect and classify missing or faulty nodes, showing accuracy and recall of 95% when half of the nodes in the network are missing or faulty.

An Energy-Efficient Layered Clustering Algorithm for Routing in Wireless Sensor Networks

2020 ◽  
pp. 238-262
Author(s):  
P. J. A. Alphonse ◽  
C. Sivaraj ◽  
T. N. Janakiraman
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Conservation ◽  
Energy Management ◽  
Energy Efficient ◽  
Clustering Algorithm ◽  
Transmission Rate ◽  
Clustering Algorithms ◽  
Sensor Nodes ◽  
Wireless Sensor

Efficient energy management is a key issue in battery equipped wireless sensor networks (WSNs). The cluster based routing in WSNs is a prominent approach for energy conservation of the network which provides a hierarchical data collection mechanism. In order to maximize the energy conservation of sensor nodes, this paper proposes an Energy-efficient Layered Clustering Algorithm (ELCA) for routing in wireless sensor networks. ELCA constructs two layers of clusters to reduce the transmission rate and to balance the energy consumption of sensors. As early energy depletion of clusterheads (CHs) is a major limitation in clustering, this algorithm provides local remedy for energy suffering CHs through efficient CH substitution scheme. The performance of the proposed algorithm is analysed through extensive simulation experiments and verified by compared results with existing clustering algorithms.

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