Fault Tolerance Model for Efficient Actor Recovery Paradigm in WSAN

2021 ◽  
pp. 486-503
Author(s):  
Reem Khalid Mahjoub ◽  
Khaled Elleithy
Keyword(s):  
Fault Tolerance ◽  
Network Performance ◽  
Wireless Sensor ◽  
Network Integration ◽  
Node Failure ◽  
Failure Avoidance ◽  
Tolerance Model ◽  
Actor Networks ◽  
Selection Algorithms ◽  
Critical Node Detection

Wireless sensor and actor networks (WSAN) is an area where sensors and actors collaborate to sense, handle and perform tasks in real-time. Thus, reliability is an important factor. Due to the natural of WSAN, actor nodes are open to failure. Failure of actor nodes degrades the network performance and may lead to network disjoint. Thus, fault tolerance techniques should be applied to insure the efficiency of the network. In an earlier work, the authors proposed an efficient actor recovery paradigm (EAR) for WSAN which handles the critical actor node failure and recovery while maintaining QoS. EAR is supported with node monitoring and critical node detection (NMCND), network integration and message forwarding (NIMF), priority-based routing for node failure avoidance (PRNFA) and backup selection algorithms. In this article, the authors extend the work by adding a fault tolerance mathematical model. By evaluating the model, EAR shows to manage fault tolerance in deferent levels. To evaluate the effectiveness, the EAR fault tolerance is evaluated by simulation using OMNET++ Simulation. In addition, EAR reliability is measured and compared with RNF, DPCRA, ACR, and ACRA.

Fault Tolerance Model for Efficient Actor Recovery Paradigm in WSAN

2019 ◽  
Vol 11 (1) ◽  
pp. 71-86
Author(s):  
Reem Khalid Mahjoub ◽  
Khaled Elleithy
Keyword(s):  
Fault Tolerance ◽  
Network Performance ◽  
Wireless Sensor ◽  
Network Integration ◽  
Node Failure ◽  
Failure Avoidance ◽  
Tolerance Model ◽  
Actor Networks ◽  
Selection Algorithms ◽  
Critical Node Detection

Wireless sensor and actor networks (WSAN) is an area where sensors and actors collaborate to sense, handle and perform tasks in real-time. Thus, reliability is an important factor. Due to the natural of WSAN, actor nodes are open to failure. Failure of actor nodes degrades the network performance and may lead to network disjoint. Thus, fault tolerance techniques should be applied to insure the efficiency of the network. In an earlier work, the authors proposed an efficient actor recovery paradigm (EAR) for WSAN which handles the critical actor node failure and recovery while maintaining QoS. EAR is supported with node monitoring and critical node detection (NMCND), network integration and message forwarding (NIMF), priority-based routing for node failure avoidance (PRNFA) and backup selection algorithms. In this article, the authors extend the work by adding a fault tolerance mathematical model. By evaluating the model, EAR shows to manage fault tolerance in deferent levels. To evaluate the effectiveness, the EAR fault tolerance is evaluated by simulation using OMNET++ Simulation. In addition, EAR reliability is measured and compared with RNF, DPCRA, ACR, and ACRA.

scholarly journals Dynamic Fault Tolerant Topology Control for Wireless Sensor Network Based on Node Cascading Failure

2018 ◽  
Vol 14 (05) ◽  
pp. 118 ◽  
Author(s):  
Yang Xiao
Keyword(s):  
Fault Tolerance ◽  
Degree Distribution ◽  
Large Scale ◽  
Fault Tolerant ◽  
Wireless Sensor ◽  
Cascading Failure ◽  
Network Node ◽  
Simulation Test ◽  
Node Failure ◽  
Scale Free

To address the node cascading failure (CF) of the wireless sensor networks (WSNs), considering such factors as node load and maximum capacity in scale-free topology, this paper establishes the WSN dynamic fault tolerant topology model based on node cascading failure, analyses the relationships between node load, topology and dynamic fault tolerance, and demonstrates the proposed model through simulation test. It studies the effects of topology parameter and load in case of random node failure in the network node cascading failure, and utilizes the theoretical derivation method to derive the structural feature of scale-free topology and the capacity limit for the WSNs large-scale cascading failure, effectively enhancing the cascading fault tolerance of traditional WSNs. The simulation test results show that, with the degree distribution parameter <em>C</em> increasing, the minimum network node degree will increase accordingly, and in highly intensive topology, the dynamic fault tolerance will be better; with the parameter<em> λ </em>increasing, the maximum degree of the network node will gradually decrease, and the degree distribution of topology structure tends to be uniform, so that the large-scale cascading failure caused by node failure will have less influence on the WSN, and further improve the dynamic fault tolerance performance of the system.

scholarly journals Node Failure Handling Through Localized Relocation over Wireless Sensor Network

2019 ◽  
Vol 8 (10) ◽  
pp. 2688-2695
Keyword(s):  
Energy Consumption ◽  
Routing Protocols ◽  
Network Performance ◽  
Wireless Sensor ◽  
Security Threats ◽  
Failure Condition ◽  
Node Failure ◽  
Hardware Failure ◽  
Failure Handling ◽  
The Impact

Communication over WSN under environmental hazards is a major issue. These constraints may have an impact over the behavior of the sensors/routing protocols and resource consumption; thus, may lead to the node failure condition i.e. software/hardware failure, security threats, excessive energy consumption, etc. It is necessary to analyze the impact of failure over network performance. In this paper, a node failure management solution is proposed, and its performance is analyzed using different protocols i.e. LEACH, AODV, and DSDV.

scholarly journals NLFFT: A Novel Fault Tolerance Model Using Artificial Intelligence to Improve Performance in Wireless Sensor Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 149231-149254 ◽  
Author(s):  
Vinod Kumar Menaria ◽  
S. C. Jain ◽  
Naga Raju ◽  
Rajani Kumari ◽  
Anand Nayyar ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Wireless Sensor Networks ◽  
Fault Tolerance ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Improve Performance ◽  
Tolerance Model

scholarly journals Distributed partition detection and recovery using UAV in wireless sensor and actor networks

2021 ◽  
Vol 48 (4) ◽  
Author(s):  
Aditi Zear ◽  
◽  
Virender Ranga ◽  
Keyword(s):  
Network Performance ◽  
Optimal Solution ◽  
Network Connectivity ◽  
Recovery Process ◽  
Wireless Sensor ◽  
Sink Node ◽  
Real Time Control ◽  
Network Nodes ◽  
Actor Networks ◽  
Message Overhead

Wireless Sensor and Actor Networks (WSANs) have been extensively employed in various domains ranging from elementary data collection to real-time control and monitoring for critical applications. Network connectivity is a vital robustness measure for overall network performance. Different network functions such as routing, scheduling, and QoS provisioning depends on network connectivity. The failure of articulation points in the network disassociates the network into disjoint segments. We proposed Distributed Partition Detection and Recovery using Unmanned Aerial Vehicle (UAV) (DPDRU) algorithm, as an optimal solution to recover the partitioned network. It consists of three steps: Initialization, Operational and Detection, and Recovery. In the Initialization phase sink node collects all the information about the network. In the Operational and Detection phase, network nodes communicate regularly by exchanging HEARTBEATS, detects failure if some nodes do not get a message from the neighbor node and send failure reports, and sink node identifies network partition. In the recovery phase, the sink node sends UAV at the positional coordinates of the failed node and examines network recovery after UAV reaches the desired location. Our approach primarily focuses on reducing message overhead by sending few update messages to sink node and energy consumption by engaging network nodes only for communication. The requirements of the recovery process (physical movement and communication) are fulfilled by UAV. The algorithm is tested according to the following parameters: Detection Time, Recovery Time, message overhead, and distance traveled by UAV. Simulation results validate the efficacy of the proposed algorithm based on these parameters to provide reliable results. The minimum and the maximum number of messages transmitted are 11 for 10 nodes and 24 for 100 nodes respectively. Hence these results demonstrate that the message overhead in our proposed solution is less as compared to other techniques when the number of nodes increases.

scholarly journals Performance analysis of wireless sensor network with load balancing for data transmission using xbee zb module

2020 ◽  
Vol 18 (1) ◽  
pp. 88 ◽  
Author(s):  
Ahmad Yusuf Ardiansyah ◽  
Riyanarto Sarno
Keyword(s):  
Wireless Sensor Network ◽  
Fault Tolerance ◽  
Sensor Network ◽  
Packet Loss ◽  
Network Performance ◽  
Balance Control ◽  
Routing Algorithm ◽  
Network Routing ◽  
Wireless Sensor

<p><span>In general, research in the field of wireless sensor network (WSN) has never discussed the reliability aspect of network routing with router devices that can find new routes when damage occurs. </span><span lang="IN">To date, o</span><span>verloaded routers will be </span><span lang="IN">ignored</span><span> without any response that gives control which can reduce the quality of network performance. Therefore, we propose research using the AODV routing</span><span lang="IN">,</span><span> and Mesh routing algorithm to find other routes as an alternative when problems occur and using the Round Robbin based xbee algorithm on providing load balance control carried out by the router. </span><span lang="IN">The experiments on</span><span> the performance of non-balancing networks and balancing</span><span lang="IN"> were conducted</span><span>. Both trials used quality of service (QoS) parameters as a guarantee of performance to be more effective and in line with expectations. Measurements performed by testing the parameters of packet loss, delay, throughput, and fault tolerance<em>. </em>The network performance in finding other alternative routes has been successfully carried out by </span><span lang="IN">transmitting</span><span> 100 packets from the end device node to the coordinator node via the router based on distance variations from 0 to 100 meters. The recovery time required by the dead router to find another route was 10 seconds, this was related to the parameter delay, and fault tolerance. The experimental results of the non-balancing system showed an average 20 % packet loss in one transmission, meanwhile the packet loss was smaller than the previous experiment by 37%. Therefore, the WSN with balancing system was proven to be more effective that could improve QoS performance by 17%.</span></p>

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