A time-dependent link failure model for wireless sensor networks

2014 ◽  
Author(s):  
Amir Ehsani Zonouz ◽  
Liudong Xing ◽  
Vinod M. Vokkarane ◽  
Yan Lindsay Sun
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Time Dependent ◽  
Wireless Sensor ◽  
Link Failure ◽  
Failure Model ◽  
Dependent Link

Key node identification of wireless sensor networks based on cascade failure

2020 ◽  
Vol 34 (34) ◽  
pp. 2050394
Author(s):  
Xiao Wang ◽  
Jian Du ◽  
Rongcheng Zou ◽  
Zebo Zhou
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Technology ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Failure Model ◽  
Complex Load ◽  
Node Importance ◽  
Load Network

Wireless sensor networks (WSNs) have become one of the core technologies of the internet of things (IoT) system. They are information generation and acquisition systems used by the IoT to sense and identify the surrounding environment. They are also sensor technology, embedding computing technology, communication technology and important product in the development of Internet technology, which have made the whole society more intelligent and humanized. WSNs are multi-hop self-organizing networks consisting of a large number of micro-sensor nodes deployed in the monitoring area. They can collaboratively sense, collect and process the monitored objects and transmit them to the observers. In this paper, we use the cascade failure method to find the key nodes in the WSNs. First, a complex network cascade failure model based on load redistribution is proposed. Differences from the existing model are as follows: (1) for each node, an overload function is defined; (2) the evolution of the network topology is replaced by node weight evolution. Based on the cascade failure model, a method for evaluating the importance of complex load network nodes is proposed and a new definition of node importance is given. This method helps to discover some potential “critical nodes” in the network. The final experimental analysis verifies the effectiveness and feasibility of the proposed method.

scholarly journals Cross-Layer Support for Energy Efficient Routing in Wireless Sensor Networks

2009 ◽  
Vol 2009 ◽  
pp. 1-9 ◽  
Author(s):  
N. Chilamkurti ◽  
S. Zeadally ◽  
A. Vasilakos ◽  
V. Sharma
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Packet Loss ◽  
Optimization Techniques ◽  
Energy Utilization ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Link Failure ◽  
Energy Efficient Routing

The Dynamic Source Routing (DSR) algorithm computes a new route when packet loss occurs. DSR does not have an in-built mechanism to determine whether the packet loss was the result of congestion or node failure causing DSR to compute a new route. This leads to inefficient energy utilization when DSR is used in wireless sensor networks. In this work, we exploit cross-layer optimization techniques that extend DSR to improve its routing energy efficiency by minimizing the frequency of recomputed routes. Our proposed approach enables DSR to initiate a route discovery only when link failure occurs. We conducted extensive simulations to evaluate the performance of our proposed cross-layer DSR routing protocol. The simulation results obtained with our extended DSR routing protocol show that the frequency with which new routes are recomputed is 50% lower compared with the traditional DSR protocol. This improvement is attributed to the fact that, with our proposed cross-layer DSR, we distinguish between congestion and link failure conditions, and new routes are recalculated only for the latter.

A Cross-Layer Predictive and Preemptive Routing Protocol for Underwater Wireless Sensor Networks Using the Lagrange Interpolation

2021 ◽  
Vol 10 (2) ◽  
pp. 78-99
Author(s):  
Manel Baba Ahmed ◽  
Moussa Ali Cherif ◽  
Sofiane Boukli Hacene
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Lagrange Interpolation ◽  
Interpolation Method ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Link Failure ◽  
Network Simulator ◽  
Underwater Wireless Sensor Networks ◽  
Simulation Performance

Underwater wireless sensor networks have become enabling technology for the seawater exploration. Since they raise numerous challenges and problems such as their limited battery and bandwidth, energy-constraint, 3D deployment, and temporary losses of connectivity or link failure, in this paper, a predictive and preemptive cross-layer protocol CLPP-VBF is proposed based on the vector-based forwarding protocol (VBF) for UWSNs, aimed to predict a future loss of connectivity or link failure problems using the Lagrange interpolation method, avoiding unnecessary transmission and rediscovering another new forwarder node in order to guarantee the data packets transmission reliability. The approach is a cooperation between the medium access layer (MAC) and network layer. The study has been implemented and evaluated using the well-known NS2 network simulator with an extension Aqua-sim; the simulation performance shows the merit of CLPP-VBF against VBF in term of delivered packets, average end-to-end delay, and energy consumption.

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