Journal Article10.1109/TPDS.2013.90
Transmission-Efficient Clustering Method for Wireless Sensor Networks Using Compressive Sensing
Ruitao Xie,Xiaohua Jia +1 more
185
TL;DR: A clustering method that uses hybrid CS for sensor networks that finds the optimal size of clusters that can lead to minimum number of transmissions and a centralized clustering algorithm based on the results obtained from the analytical model.
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Abstract: Compressive sensing (CS) can reduce the number of data transmissions and balance the traffic load throughout networks. However, the total number of transmissions for data collection by using pure CS is still large. The hybrid method of using CS was proposed to reduce the number of transmissions in sensor networks. However, the previous works use the CS method on routing trees. In this paper, we propose a clustering method that uses hybrid CS for sensor networks. The sensor nodes are organized into clusters. Within a cluster, nodes transmit data to cluster head (CH) without using CS. CHs use CS to transmit data to sink. We first propose an analytical model that studies the relationship between the size of clusters and number of transmissions in the hybrid CS method, aiming at finding the optimal size of clusters that can lead to minimum number of transmissions. Then, we propose a centralized clustering algorithm based on the results obtained from the analytical model. Finally, we present a distributed implementation of the clustering method. Extensive simulations confirm that our method can reduce the number of transmissions significantly.
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Citations
An Energy-Efficient Compressive Sensing-Based Clustering Routing Protocol for WSNs
TL;DR: A novel algorithm which combined the merits of the clustering strategy and the compressive sensing-based (CS-based) scheme was proposed in this paper and the effect of EECSR on improving energy efficiency and extending the lifespan of wireless sensor networks was verified.
A Survey on an Energy-Efficient and Energy-Balanced Routing Protocol for Wireless Sensor Networks.
TL;DR: An extensive survey of the different state-of-the-art energy-efficient and energy-balanced routing protocols for WSNs is presented and possible research directions in order to optimize the energy consumption in sensor networks are suggested.
133
Energy Efficient Clustering Protocol for Large-Scale Sensor Networks
TL;DR: Performance analysis demonstrates that the proposed FSC can efficiently save energy, which is much better than hybrid, energy-efficient, and distributed clustering in terms of both energy saving and packet collection rate.
124
A review on energy efficient protocols in wireless sensor networks
Sarika Yadav,Rama Shankar Yadav +1 more
TL;DR: The main design issues based on the model of wireless sensor networks: structure-free and structured for data collection and aggregation where role of clustering and routing is discussed for energy conservation and enhancing network lifetime are reviewed.
103
Compressive Sensing With Prior Support Quality Information and Application to Massive MIMO Channel Estimation With Temporal Correlation
Xiongbin Rao,Vincent K. N. Lau +1 more
TL;DR: The distortion bound of the recovered signal from the proposed algorithm is analyzed and it is shown that a better quality prior support can lead to better CS recovery performance.
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