Fault management in event-driven wireless sensor networks pdf

Pdf a selfmanaging fault management mechanism for wireless. Application of fuzzy inference systems to detection of faults in wireless sensor networks safdar abbas khana,c,n, boubaker daachia, karim djouania,b a lissi laboratory, ea3956, university of paris east, france. Interferenceaware multipath routing protocol for qos improvement in eventdriven wireless sensor networks marjan radi, behnam dezfouli, kamalrulnizam abu bakar, shukor abd razak, mohammad ali nematbakhsh faculty of computer science and information systems. Lilia paradis is currently a graduate student in the department of mathematical and computer sciences, colorado school of mines. Fault tolerance is the ability to ensure the functionality of the network in the events of. Wsns have unique specifications of themselves that describe them different from other networks.

Wsn, energy optimization, routing protocols, network lifetime. Fault management for smart wireless sensor networks. International journal of computational engineering. Research in this area is still in its infancy, but it is progressing rapidly. However, the endtoend delay is dicult to bound for eventdriven. Five key features need to be considered when developing wsn solutions. Wireless sensor networks wsns are composed of a set of sensor nodes, widely spread out across the area and gather information.

It includes a set of functions and a network manager and agents. However, this scheme achieves the energy efficient clustering wireless sensor networks, clustering, cluster head ch, eventdriven wireless sensor networks and multipath routing. In this paper we propose a fuzzy logic based fault detection and fault management scheme ffms. Event driven sensor systems arizona state university. Secure communications for eventdriven wireless sensor networks. Section iii covers the important aspects of failure detection and fault management with the focus on event driven networks. The algorithm considers the serious influence of sensing measurement loss. Neighborbased malicious node detection in wireless sensor. Endtoend delay analysis for eventdriven wireless sensor. A survey on fault detection and fault tolerance in wireless. Neighbor coordination based fault node detection algorithm.

Wireless sensor networks, fault management, selfmanagement, network monitoring. Neighbor coordination based fault node detection algorithm for distributed wireless sensor networks written by prashant shukla, rama ranjan panda published on 20170926 download full article with reference data and citations. Pdf fault management in eventdriven wireless sensor. Wsns, security, key management, distributed event detection, energy constraints 1 introduction with the advent of realworld applications in the area of wireless sensor networks wsns 1, the need for applicable secure communications increasingly moves into the attention of research. Overview of wireless sensor network 7 use optical or infrared communication, with the latter having the advantage of being robust and virtually interference free. Wireless sensor networks are resourceconstrained selforganizing systems that are often deployed in inaccessible and inhospitable environments in order to collect data about some outside world. In order to evaluate the performance the management solution, we analyze the impact of management functions over the network and also its effectiveness in detecting failures. Policy driven selfmanagement in wireless sensor networks, acmieee icse 5th international workshop on software engineering for adaptive and selfmanaging systems seams, cape town, may 2010. A survey of fault detection and management techniques in. Interferenceaware multipath routing protocol for qos. Comparative study of fault management algorithms in wireless. Configuring the network as eventdriven is an attractive option for a large class of. Analysis about papers based on neural network domain. It is observed that the main challenge for management of wsn is to provide.

Constructing eventdriven partial barriers with resilience in wireless mobile sensor networks. Management functional areas fault management faults in wsns are not an exception and tend to occur frequently, thus fault management is a critical function. Pdf a survey on fault management in wireless sensor networks. Wireless sensor networks applications home and office applications home and office automation smart environment 7 8. Today wireless sensor networks wsns emerge as a revolution in all aspects of our life. In this work we propose and evaluate a failure detection scheme using management architecture for wsns, called manna.

In this paper, we address these challenges paper is organized as follows. Wireless sensor networks wsns can be defined as a selfconfigured and infrastructureless wireless networks to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass their data through the network to a main location or sink where the data can be observed and analysed. Wsns measure environmental conditions like temperature, sound, pollution levels, humidity, wind, and so on. In this paper we propose a fuzzy logic based fault. Wireless sensor networks wsns have emerged as a new monitoring and control solution for a variety of applications. Although the behavior of a wsn is characterized by the type of its application, a common element exist. However, most sensor network applications are designed with network management in mind and thus no extra network management layer is required. Many applications of sensor networks require an endtoend delay guarantee for time sensitive data. Constructing event driven partial barriers with resilience in wireless mobile sensor networks.

First of all we start with defining wireless sensor networks wsn. Failure detection, in particular, is vital not only for fault management, but also for security and performance. Due to faults or malicious nodes, however, the sensor data collected or reported might be wrong. Secure communications for eventdriven wireless sensor. Sensor nodes can be randomly deployed or placed in predetermined locations. Therefore, it is essential to provide fault tolerant techniques for distributed sensor applications. Therefore, we propose an uncertaintybased distributed fault detection through aided judgment of neighbors for wireless sensor networks. In particular, we analyze the fault management aspect for. Fault detection and fault management in wireless sensor network is a major challenge in its performance analysis. Fault tolerance is one of the most significant of many challenges in these networks. Investigation of fault detection methods in wireless. We take a deep look at its fault management capabilities supposing the existence of an eventdriven wsn. Mar, 2007 wireless sensor networks are resourceconstrained selforganizing systems that are often deployed in inaccessible and inhospitable environments in order to collect data about some outside world phenomenon.

In order to evaluate the performance the management solution, we analyze the impact of management functions over the network and also its e ectiveness in detecting failures. As the nature of importance of event monitoring, security has to be assured in both of communication and processing. Pdf fault management in eventdriven wireless sensor networks. Recently, wireless sensor networks wsns have attracted a lot of attention from the network research community, especially in the aspect of eventdriven wireless sensor networks ewsns, such as adversary locating, fire detection and so on. Wireless sensor networks are used to monitor wine production, both in the field and the cellar. Each sensor node makes a decision on the fault status of itself and its neighboring. Wireless sensor networks are resourceconstrained selforganizing systems that are often deployed in inaccessible and inhospitable environments in order to collect data about some outside world phenomenon. This is one of the reasons that make wsn management different from traditional network management 46 sensornet project mannateam management functional areas fault management. A survey on fault management in wireless sensor networks article pdf available in ieee wireless communications 146.

Introduction an eventdriven wireless sensor network is a special type of wireless sensor network 1, in which nodes are densely. The design of wireless sensor networks wsns is influenced by many factors, including fault tolerance. A selfmanaging fault management mechanism for wireless sensor networks. Hence, it can save energy and extend the lifetime of sensor networks. A survey of fault detection and management techniques in wireless sensor networks 116.

These are similar to wireless ad hoc networks in the sense that. Some sensor nodes may develop a fault due to various reasons such as environmental effects. This paper proposed an autoconfigurable algorithm for wireless sensor network wsn to efficiently reorganize the network topology. Fault management in event driven wireless sensor networks.

Network reliable routing protocol for eventdriven wireless. Application of fuzzy inference systems to detection of faults. However, the endtoend delay is dicult to bound for eventdriven sensor networks, where nodes generate and propagate data only when an event of interest occurs, thereby producing unpredictable trac load. A survey on fault detection and fault tolerance in. Application of fuzzy inference systems to detection of faults in wireless sensor networks safdar abbas khana,c,n, boubaker daachia, karim djouania,b a lissi laboratory, ea3956, university of paris east, france b fsati, tshwane university of technology, south africa c iit, quaidiazam university, islamabad, pakistan article info article history. Exchanging too many messages for fault detection will cause not only a degradation of the network quality of service, but also represents a huge burden on the limited energy of sensors. However, this scheme achieves the energy efficient clustering wireless sensor networks, clustering, cluster head ch, event driven wireless sensor networks and multipath routing. Fault detection of wireless sensor networks sciencedirect. International journal of computational engineering research. Redundant communication avoidance for eventdriven wireless. Many routing, power management, and data dissemination protocols have been specifically designed for wireless sensor networks, where energy awareness is an essential design issue. Comparative study of fault management algorithms in.

Application of fuzzy inference systems to detection of. Introduction an event driven wireless sensor network is a special type of wireless sensor network 1, in which nodes are densely. A survey of fault management in wireless sensor networks. As we have already seen, many of the challenges of sensor networks revolve around the limited power resources. Wireless sensor network wsn refers to a group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. Introduction due to advance information technology, wireless. In this paper we propose a management architecture protocol 1. Data centric routing protocols in wireless sensor n. Fault management, an essential component of any network management system, will play an equal, if not more, crucial role in wsns. Fault management frameworks in wireless sensor networks. Readers familiar with wireless sensor networks may proceed to section ib. Malicious nodes are modeled as faulty nodes behaving intelligently to lead to an incorrect decision or energy depletion without being easily detected.

Section iii covers the important aspects of failure detection and fault management with the focus on. Fuzzy logic data fusion 7, hierarchical bayesian spacetime framework 8, tracing techniques16, decision. Eventdriven networks pose special challenges to the problem we discuss them in detail in section 2. For most sensor network applications, pointtopoint reliability is not the main objective. Nodes with faulty sensors and permanent communication faults are to be identified. Wireless sensor networks promise to usher in a new. Wireless sensor networks can be used to monitor the condition of civil infrastructure and related geophysical processes close to real time, and over long periods through data logging, using appropriately interfaced sensors. The autoconfigurable algorithm is based on self configurable cellular architecture and it has been observed from simulation result that the proposed algorithm achieves lower power consumption than the existing one. Proceedings of the 7th acm international symposium on modeling, analysis and simulation of wireless and mobile systems, 2004. Network management is the task of detecting and resolving network problems both locally or remotely. The aim of this study is to classify the existing literature of this fast emerging application area of cognitive radio wireless sensor networks, highlight the key research that has already. Investigation of fault detection methods in wireless sensor networks charalampos orfanidis kongens lyngby 2014 immm. Also in this report we present our study on other aspects around tiny os like its programming model i. In this paper, we present a neighborbased malicious node detection scheme for wireless sensor networks.

An uncertaintybased distributed fault detection mechanism. The size of the nodes limits the size of the battery. Fault management in eventdriven wireless sensor networks core. Citeseerx document details isaac councill, lee giles, pradeep teregowda. Fuzzy based fault management scheme in wireless sensor.

Event driven networks pose special challenges to the problem we discuss them in detail in section 2. And the sensor nodes belonging to the set of active sensors active. Fault management in eventdriven wireless sensor networks. Wireless sensor networks wsns can be defined as a selfconfigured and infrastructureless wireless networks to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass their data through the network to a main location or sink where the data can be observed. Sep 05, 2008 in the fault detection of wireless sensor networks, we assume that all the sensor nodes have the same transmission range. Comparative study of fault management algorithms in wireless sensor networks written by charu virmani, khushboo garg published on 20120530 download full article with reference data and citations. Energy efficient autoconfigurable algorithm for wireless. Security issues and challenges in eventdriven wireless.

Interferenceaware multipath routing protocol for qos improvement in eventdriven wireless sensor networks marjan radi, behnam dezfouli, kamalrulnizam abu bakar, shukor abd razak, mohammad ali nematbakhsh faculty of computer science and information systems, universiti teknologi malaysia, johor, malaysia. Wireless sensor networks applications automotive applications reduces wiring effects measurements in chambers and rotating parts remote technical inspections conditions monitoring. In the fault detection of wireless sensor networks, we assume that all the sensor nodes have the same transmission range. Wireless sensor networks, fault management, self management, network monitoring. Wireless sensor networks wsns consist of small nodes with sensing, computation, and wireless communications capabilities. Eventdriven reporting of the sensed data is performed by the sensor nodes wherein a sensor. Abstract it is a set of communication nodes planted, without previous planning, in the. In this paper, we present a neighborbased malicious node detection scheme for wireless sensor. The endtoend delay is one of the most critical and fundamental issues for wireless sensor networks. Network management, wireless sensor networks, fault management, cluster formation. Hence it is important to detect events in the presence of wrong sensor readings and misleading reports. We take a deep look at its fault management capabilities supposing the existence of an event driven wsn.