scholarly journals AdapCode: Adaptive Network Coding for Code Updates in Wireless Sensor Networks

2008 ◽  
Author(s):  
I.-H. Hou ◽  
Y.-E. Tsai ◽  
T. F. Abdelzaher ◽  
I. Gupta
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Coding ◽  
Wireless Sensor ◽  
Adaptive Network

scholarly journals Cooperative and Adaptive Network Coding for Gradient Based Routing in Wireless Sensor Networks with Multiple Sinks

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
M. E. Migabo ◽  
T. O. Olwal ◽  
K. Djouani ◽  
A. M. Kurien
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Coding ◽  
Gaussian Elimination ◽  
Computational Cost ◽  
Traffic Load ◽  
Wireless Sensor ◽  
Adaptive Network ◽  
Multiple Sinks ◽  
Gradient Based

Despite its low computational cost, the Gradient Based Routing (GBR) broadcast of interest messages in Wireless Sensor Networks (WSNs) causes significant packets duplications and unnecessary packets transmissions. This results in energy wastage, traffic load imbalance, high network traffic, and low throughput. Thanks to the emergence of fast and powerful processors, the development of efficient network coding strategies is expected to enable efficient packets aggregations and reduce packets retransmissions. For multiple sinks WSNs, the challenge consists of efficiently selecting a suitable network coding scheme. This article proposes a Cooperative and Adaptive Network Coding for GBR (CoAdNC-GBR) technique which considers the network density as dynamically defined by the average number of neighbouring nodes, to efficiently aggregate interest messages. The aggregation is performed by means of linear combinations of random coefficients of a finite Galois Field of variable size GF(2S) at each node and the decoding is performed by means of Gaussian elimination. The obtained results reveal that, by exploiting the cooperation of the multiple sinks, the CoAdNC-GBR not only improves the transmission reliability of links and lowers the number of transmissions and the propagation latency, but also enhances the energy efficiency of the network when compared to the GBR-network coding (GBR-NC) techniques.

CodeDrip: Improving data dissemination for wireless sensor networks with network coding

2017 ◽  
Vol 54 ◽  
pp. 42-52 ◽  
Author(s):  
Nildo dos Santos Ribeiro Júnior ◽  
Rodrigo C. Tavares ◽  
Marcos A.M. Vieira ◽  
Luiz F.M. Vieira ◽  
Omprakash Gnawali
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Coding ◽  
Data Dissemination ◽  
Wireless Sensor

scholarly journals An Improved Flooding Routing Protocol for Wireless Sensor Networks Based on Network-Coding

2018 ◽  
Vol 17 ◽  
pp. 02001
Author(s):  
Churan Tang ◽  
Linghua Zhang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Coding ◽  
Routing Protocol ◽  
Network Reliability ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Bandwidth Utilization ◽  
Network Utilization ◽  
Save Energy

A central question in wireless sensor network research is how to reduce the consumption of the energy of the sensor nodes. Theoretically, the network coding technology proposed by Ahlswede et al (2000) can improve the network reliability and network throughput, increase the robustness and save energy. Based on the classic flooding routing protocol, the present study proposes a new flooding control protocol, i.e. NC-Flooding for wireless sensor networks. NC-Flooding protocol introduces five mechanisms to enhance the efficiency of wireless sensor networks. As shown by MATLAB simulation results, NC-Flooding protocol reduces the number of broadcasts of wireless sensor networks, increases the throughput of the network and increases the bandwidth utilization. We conclude that NC-Flooding protocol reduces data forwarding cost and node energy consumption and extends nodes’ life cycle, thus increasing network utilization.

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