scholarly journals DAG-Coder: Directed Acyclic Graph-Based Network Coding for Reliable Wireless Sensor Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 21886-21896
Author(s):  
Eman Al-Hawri ◽  
Noelia Correia ◽  
Alvaro Barradas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Coding ◽  
Directed Acyclic Graph ◽  
Wireless Sensor ◽  
Acyclic Graph

Control Messages Overhead Impact on Destination Oriented Directed Acyclic Graph—A Wireless Sensor Networks Objective Functions Performance Comparison

2020 ◽  
Vol 17 (2) ◽  
pp. 1227-1235 ◽  
Author(s):  
Innocent Uzougbo Onwuegbuzie ◽  
Shukor Abd Razak ◽  
Ismail Fauzi Isnin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Low Power ◽  
Objective Function ◽  
Directed Acyclic Graph ◽  
Performance Comparison ◽  
Convergence Time ◽  
Wireless Sensor ◽  
Objective Functions ◽  
Acyclic Graph

Routing Protocol for Low-power and Lossy Network (RPL) with IPv6 support is the de facto standard for routing over Low-power and Lossy Network (LLN) called Wireless Sensor Networks (WSN). Objective Functions namely Minimum Rank with Hysteresis Objective Function (MRHOF) and Objective Function Zero (OF0) together with the Internet Control Messaging Protocol (ICMP) control messages, propel RPL to constructs routing paths called Destination Oriented Directed Acyclic Graph (DODAG), for packet routing within the sensor network. To the best knowledge of the authors, no detailed investigation has been carried out to unravel the dynamics of how these control messages impact on the network with respect to DODAG formation right before convergence is attained, particularly from the perspective of MRHOF and OF0. In this paper, the authors investigated the various types of control messages (DODAG Information Solicitation, DODAG Information Object and Destination Advertisement Object) used to setup the DODAG. RPL Simulations was carried out on one 100 nodes, starting with 10 nodes and incremented by 10 until the 100th node. Each simulation was repeated five times with a confidence level of 95%, which statistically signifies a reliable and acceptable confidence interval, for a duration of thirty minutes. Results obtained showed that the DIS–OF0 generated the least packets with 125 packets, followed by DAO–MRHOF with 1357 packets and the most generated; DIO–MRHOF with 1536 packets. Subsequently, MRHOF had higher Convergence Time of 130.67 seconds as to 87.93 seconds for OF0. This information is valuable for both the academia and industry.

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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