scholarly journals Node Failure Management to Improve the Performance of Wireless Sensor Networks

2021 ◽  
Author(s):  
Pallavi Katkar ◽  
Ashwini Pawar ◽  
Sheetal Zalte ◽  
Suhas Katkar
Keyword(s):  
Health Care ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Home Health Care ◽  
Fault Tolerant ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
New Work ◽  
Node Failure ◽  
Sensor Applications

A sensor network can be defined an assembly of sensor nodes which associated by all together to complete particular detailed task. These sensor nodes are mostly in huge amounts also compactly installed moreover in the network area or very near to it. Sensor networks can be worked for several sectors such that: environmental monitoring, home, health care, Industries, military, and habitat. Failure of network is unavoidable in wireless sensor networks because of unfriendly location and non-reachable placement. Hence, it is needed that network faults are discovered in time and proper methods are engaged to bear network task. So, it is important to deliver fault forbearing systems for spread sensor applications. Numerous new work in this field yield severely different methodologies to talking the fault tolerance concern in routing. In this propose review and equate present fault tolerant practices to provision for sensor applications.

scholarly journals RELAY DEPLOYMENT ALGORITHMS IN WIRELESS SENSOR NETWORKS: A SURVEY

2018 ◽  
Vol 14 (2) ◽  
pp. 131-137
Author(s):  
Lanny Sitanayah
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocols ◽  
Fault Tolerant ◽  
State Of The Art ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Relay Nodes ◽  
Alternate Routes ◽  
Relay Deployment

Wireless Sensor Networks (WSNs) are subject to failures. Even though reliable routing protocols for WSNs exist and are well-understood, the physical network topology must ensure that alternate routes with an acceptable length to the sinksare in fact available when failures occur. This requires a sensor network deployment to be planned with an objective of ensuring some measure of robustness in the topology, so that when failures do occur the protocols can continue to offer reliable delivery. To ensure that sensor nodes have sufficient paths, it may be necessary to add a number of additional relay nodes, which do not sense, but only forward data from other nodes. In this paper, we review a range of existing algorithms to deploy relay nodes for fault tolerance. We classify the state-of-the-art relay placement algorithms based on routing structures, connectivity requirements, deployment locations, and fault-tolerant requirements.

QoS in Wireless Sensor Networks

2010 ◽  
pp. 53-74 ◽  
Author(s):  
Ghalib A. Shah ◽  
Shaleeza Sohail ◽  
Faisal B. Hussain
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Effective Means ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Future Research ◽  
Sensor Applications ◽  
Network Layers ◽  
Processing Abilities ◽  
Significant Research

Wireless Sensor Networks (WSNs) have been envisioned as a new and effective means for creating and deploying previously unimaginable applications. These networks generally have the capabilities of observing the physical phenomena, communication, data processing and dissemination. Limited resources of sensor nodes like energy, bandwidth and processing abilities, make these networks excellent candidates for incorporating QoS framework. The possible applications of WSNs are numerous while being diverse in nature which makes analyzing and designing QoS support for each application a non-trivial task. At the same time, these applications require different type of QoS support from the network for optimum performance. A single layer cannot address all these issues, hence, numerous researchers have proposed protocols and architectures for QoS support at different network layers. In this chapter, the authors identify the generic QoS parameters which are usually supported at different layers of WSNs protocol stack and investigate their importance in different application models. A brief overview of significant research contribution at every network layer is provided. It is worthwhile to mention that same QoS parameter may be supported at multiple layers, hence, adequate selection of suitable mechanism would be application’s choice. On the other hand, it is quite possible that a single QoS parameter, such as energy conservation or real-time delivery, can be efficiently supported through interaction of multiple layers. It is difficult, if not impossible to optimize multi layer QoS architecture. Hence, a number of researchers have also proposed the idea of cross layer architecture for providing QoS support for a number of sensor applications, which is also discussed in this chapter. At the end, the authors highlight the open research issues that might be the focus of future research in this area.

QoS in Wireless Sensor Networks

2012 ◽  
pp. 99-119
Author(s):  
Ghalib A. Shah ◽  
Shaleeza Sohail ◽  
Faisal B. Hussain
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Effective Means ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Future Research ◽  
Sensor Applications ◽  
Network Layers ◽  
Processing Abilities ◽  
Significant Research

Wireless Sensor Networks (WSNs) have been envisioned as a new and effective means for creating and deploying previously unimaginable applications. These networks generally have the capabilities of observing the physical phenomena, communication, data processing and dissemination. Limited resources of sensor nodes like energy, bandwidth and processing abilities, make these networks excellent candidates for incorporating QoS framework. The possible applications of WSNs are numerous while being diverse in nature which makes analyzing and designing QoS support for each application a non-trivial task. At the same time, these applications require different type of QoS support from the network for optimum performance. A single layer cannot address all these issues, hence, numerous researchers have proposed protocols and architectures for QoS support at different network layers. In this chapter, the authors identify the generic QoS parameters which are usually supported at different layers of WSNs protocol stack and investigate their importance in different application models. A brief overview of significant research contribution at every network layer is provided. It is worthwhile to mention that same QoS parameter may be supported at multiple layers, hence, adequate selection of suitable mechanism would be application’s choice. On the other hand, it is quite possible that a single QoS parameter, such as energy conservation or real-time delivery, can be efficiently supported through interaction of multiple layers. It is difficult, if not impossible to optimize multi layer QoS architecture. Hence, a number of researchers have also proposed the idea of cross layer architecture for providing QoS support for a number of sensor applications, which is also discussed in this chapter. At the end, the authors highlight the open research issues that might be the focus of future research in this area.

scholarly journals Wireless Sensor Networks with Energy Efficient Organization

2002 ◽  
Vol 03 (03n04) ◽  
pp. 213-229 ◽  
Author(s):  
Mihaela Cardei ◽  
David MacCallum ◽  
Maggie Xiaoyan Cheng ◽  
Manki Min ◽  
Xiaohua Jia ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Savings ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sleep Mode ◽  
Target Area ◽  
Dominating Sets ◽  
Active Set ◽  
Sensor Applications

A critical aspect of applications with wireless sensor networks is network lifetime. Battery-powered sensors are usable as long as they can communicate captured data to a processing node. Sensing and communications consume energy, therefore judicious power management and scheduling can effectively extend the operational time. One important class of wireless sensor applications of deployment of large number of sensors in an area for environmental monitoring. The data collected by the sensors is sent to a central node for processing. In this paper we propose an efficient method to achieve energy savings by organizing the sensor nodes into a maximum number of disjoint dominating sets (DDS) which are activated successively. Only the sensors from the active set are responsible for monitoring the target area and for disseminating the collected data. All other nodes are into a sleep mode, characterized by a low energy consumption. We define the maximum disjoint dominating sets problem and we design a heuristic that computes the sets. Theoretical analysis and performance evaluation results are presented to verify our approach.

Wireless Sensor Networks for Machinery Monitoring

2005 ◽  
Author(s):  
V. Sundararajan ◽  
Andrew Redfern ◽  
Michael Schneider ◽  
Paul Wright ◽  
James Evans
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Fault Tolerant ◽  
Water Quality Monitoring ◽  
Industrial Applications ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Spatial Density ◽  
Plant Equipment ◽  
Early Fault Detection

Wireless sensor networks (WSNs) are currently been actively investigated in the research community on account of their unprecedented spatial density of sensors, local computational plus storage capacity, and potential for distributed and fault-tolerant monitoring. Today, they are mainly deployed for environmental monitoring - e.g. for “smart building” control, water quality monitoring, and botanical studies. In the future, it is clear they have a huge potential for industrial applications such as machinery monitoring, shop instrumentation, and process control. Wireless sensor nodes can be mounted on various parts of machinery and plant to promote early fault detection and analysis. Their small size and autonomy enables their placement in locations that are usually difficult to access. In addition, it is also possible, with minimal changes to the machine configuration, to deploy sensors on the machinery after it has been installed. The sensor nodes cannot only monitor their own output but also collaborate with neighboring nodes to determine the health of the overall machines and provide early warnings of potential failure. We study, in this paper, the benefits of using wireless sensor networks in machine tools and plant equipment. We discuss the uses of these networks and the issues that must be addressed in order for these implementations to be successful. We also present two case studies for machinery and machine too monitoring.

scholarly journals A Modified Real-Time Fault-Tolerant Task Allocation Scheme for Wireless Sensor Networks

2018 ◽  
pp. 45-54
Author(s):  
Francis Franklin Marshall ◽  
M B Mu'azu ◽  
I J Umoh ◽  
A T Salawudeen ◽  
B O Sadiq ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Network Lifetime ◽  
Task Allocation ◽  
Fault Tolerant ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Allocation Scheme ◽  
Real Time System

In WSNs, the sensor nodes are at risk of failure and malicious attacks (selective forwarding). This may have a profound negative effect when you consider real-time WSNs, making them challenging to deploy. When there is a delay in tasks allocation execution processes in real-time WSNs because of sensor nodes failures, this will cause disastrous consequences if the systems are safety-critical, e.g. aircraft, nuclear power plant, forest fire detection, battlefield monitoring, thus the need to developed a real-time system that is fault-tolerable. This paper developed a modified real-time fault-tolerant task allocation scheme (mRFTAS) for WSNs (wireless sensor networks), using active replication techniques. mRFTAS and RFTAS performance were compared using time of execution of the task, network lifetime and reliability cost. The mRFTAS performance showed an improvement over that of RFTAS when it comes to reducing the time it takes for task execution by 45.56% and reliability cost of 7.99% while prolonging the network lifetime by 36.35%.

Self-Adapting Event Configuration in Ubiquitous Wireless Sensor Networks

2010 ◽  
Vol 1 (2) ◽  
pp. 46-63
Author(s):  
Steffen Ortmann ◽  
Michael Maaser ◽  
Peter Langendoerfer
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Event Detection ◽  
Environmental Changes ◽  
Fault Tolerant ◽  
Low Cost ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Event Definition

Wireless Sensor Networks are the key-enabler for low cost ubiquitous applications in the area of homeland security, health-care, and environmental monitoring. A necessary prerequisite is reliable and efficient event detection in spite of sudden failures and environmental changes. Due to the fact that the sensors need to be low cost, they have only scarce resources leading to a certain level of failures of sensor nodes or sensing devices attached to the nodes. Available fault tolerant solutions are mainly customized approaches that revealed several shortcomings, particularly in adaptability and energy efficiency. The authors present a complete event detection concept including all necessary steps from formal event definition to autonomous device configuration. It features an event definition language that allows defining complex events as well as enhance the reliability by tailor-made voting schemes and application constraints. Based on that, this paper introduces a novel approach for self-adapting on-node and in-network processing, called Event Decision Tree (EDT). EDT autonomously adapts to available resources and environmental conditions, even though it requires to (re-)organize collaboration between neighboring nodes for evaluation. The authors’ approach achieves fine-grained event-related fault tolerance with configurable adaptation rate while enhancing maintainability and energy efficiency.

scholarly journals Redundancy Analysis and a Distributed Self-Organization Protocol for Fault-Tolerant Wireless Sensor Networks

2007 ◽  
Vol 3 (3) ◽  
pp. 243-272 ◽  
Author(s):  
Yi Zou ◽  
Krishnendu Chakrabarty
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Fault Tolerant ◽  
Selection Procedure ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Self Organization ◽  
Distributed Sensor ◽  
Node Failures

Sensor nodes in a distributed sensor network can fail due to a variety of reasons, e.g., harsh environmental conditions, sabotage, battery failure, and component wear-out. Since many wireless sensor networks are intended to operate in an unattended manner after deployment, failing nodes cannot be replaced or repaired during field operation. Therefore, by designing the network to be fault-tolerant, we can ensure that a wireless sensor network can perform its surveillance and tracking tasks even when some nodes in the network fail. In this paper, we describe a fault-tolerant self-organization scheme that designates a set of backup nodes to replace failed nodes and maintain a backbone for coverage and communication. The proposed scheme does not require a centralized server for monitoring node failures and for designating backup nodes to replace failed nodes. It operates in a fully distributed manner and it requires only localized communication. This scheme has been implemented on top of an energy-efficient self-organization technique for sensor networks. The proposed fault-tolerance-node selection procedure can tolerate a large number of node failures using only localized communication, without losing either sensing coverage or communication connectivity.

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