scholarly journals Link Loss Inference in Wireless Sensor Networks with Randomized Network Coding

Author(s):  
Vahid Shah-Mansouri ◽  
Vincent W. S. Wong
2019 ◽  
Vol 2019 ◽  
pp. 1-25 ◽  
Author(s):  
Zhihua Li ◽  
Minda Xu ◽  
Tingxu Liu ◽  
Lei Yu

In wireless sensor networks (WSNs), energy efficiency can simultaneously guarantee robustness to link loss and node failure and is a key design goal of routing protocols because WSNs are strongly constrained in terms of transmission reliability, transmission delay, and energy consumption. Braided multipath routing has become a powerful tool for tolerating node failures and link losses, with high reliability and efficient data transmission rates. In this paper, we propose a novel network coding-based braided multipath routing called NC-BMR protocol. It integrates a data compression-based network coding method with the construction of hierarchical multiparent nodes (HMPNs) topology for the routing with coordinated data forwarding manner and a multipackets-based time scheduler strategy (MTSS). Its perfect transmission efficiency is achieved by only attaching a little control information with data packets. We validated NC-BMR based on the TOSSIM platform and compared it to several previous methods. Theoretical analysis and simulation results demonstrate its performance improvement in terms of the transmission reliability, delay, and overhead.


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

2018 ◽  
Vol 17 ◽  
pp. 02001
Author(s):  
Churan Tang ◽  
Linghua Zhang

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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