An Opportunistic Routing Protocol Based on Random Linear Network Coding in Wireless Sensor Networks

Author(s):  
Xiaoping Li ◽  
Dongming Li ◽  
Luyang Liu ◽  
Hongjian Dong
2012 ◽  
Vol 8 (10) ◽  
pp. 605494 ◽  
Author(s):  
Jin Wang ◽  
Xiumin Wang ◽  
Shukui Zhang ◽  
Yanqin Zhu ◽  
Juncheng Jia

We address the modeling and design of linear network coding (LNC) for reliable communication against multiple failures in wireless sensor networks (WSNs). To fulfill the objective, we design a deterministic LNC scheme RDLC based on the average number of path failures simultaneously happening in the network other than the maximum number of path failures. The scheme can significantly improve the network throughput comparing with the traditional approaches. In our study, we also investigate the potential of random linear code RRLC for providing reliable communication in WSNs and prove the low bound of the probability that the RRLC can provide the reliable communication. Finally, extensive simulation experiments have been conducted, and the results demonstrate the effectiveness of the proposed LNC schemes.


2017 ◽  
Vol 13 (2) ◽  
pp. 155014771769324
Author(s):  
Chen Han ◽  
Yuwang Yang ◽  
Xu Han

In mobile wireless sensor networks, linear network coding has been shown to improve the performance of network throughput and reduce delay. However, the linear dependence of coded packets caused by linear network coding will result in significant instability of the entire network during data transmission. Moreover, current linear network coding schemes do not distinguish between the real-time requirements of different packets. To solve the above problems, a weighted Vandermonde echelon fast coding scheme is proposed based on an analysis of various coding schemes such as random and linear network coding. Weighted Vandermonde echelon fast coding scheme can reduce the dependence problem of the network coding matrix and distinguish between different packet priorities. The accuracy of the proposed weighted Vandermonde echelon fast coding method is investigated through a theoretical analysis and then its outstanding delivery performance is verified through discrete event simulation experiments.


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.


Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3887 ◽  
Author(s):  
Deep Kumar Bangotra ◽  
Yashwant Singh ◽  
Arvind Selwal ◽  
Nagesh Kumar ◽  
Pradeep Kumar Singh ◽  
...  

The lifetime of a node in wireless sensor networks (WSN) is directly responsible for the longevity of the wireless network. The routing of packets is the most energy-consuming activity for a sensor node. Thus, finding an energy-efficient routing strategy for transmission of packets becomes of utmost importance. The opportunistic routing (OR) protocol is one of the new routing protocol that promises reliability and energy efficiency during transmission of packets in wireless sensor networks (WSN). In this paper, we propose an intelligent opportunistic routing protocol (IOP) using a machine learning technique, to select a relay node from the list of potential forwarder nodes to achieve energy efficiency and reliability in the network. The proposed approach might have applications including e-healthcare services. As the proposed method might achieve reliability in the network because it can connect several healthcare network devices in a better way and good healthcare services might be offered. In addition to this, the proposed method saves energy, therefore, it helps the remote patient to connect with healthcare services for a longer duration with the integration of IoT services.


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