Fault management in event-driven wireless sensor networks

Abstract

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: faults are a normal fact, not isolated events as in traditional networks. Thus, in order to guarantee the network quality of service it is essential for the WSN to be able to detect failures and perform something akin to healing, recovering from events that might cause some of its parts to malfunction. In this work we propose and evaluate a failure detection scheme using a management architecture for WSNs, called MANNA. We take a deep look at its fault management capabilities supposing the existence of an event-driven WSN. This is a challenging and attractive kind of WSN and we show how the use of automatic management services defined by MANNA can provide self-configuration, self-diagnostic, and self-healing (some of the self-managing capabilities). We also show that the management solution promote the resources productivity without incurring a high cost to the network.

Deriving a unified fault taxonomy for event-based systems

“…The fourth main area of interest is event-driven wireless sensor networks [2,12,58] (WSN), including applications of ubiquitous computing [66], intrusion detection [35], or monitoring of environment (temperature) data [58]. Among the key problems in this field are energy-efficiency, event routing or data aggregation [34].…”

“…We study different aspects of faults in event-based systems in general, with a particular focus on five main sub-areas: (1) event-driven interaction paradigms (EDIP) [13,22,23,33,53], (2) event stream processing (ESP) [1,6,7,9,15,64], (3) complex event processing (CEP) [21,42,75], (4) event-driven monitoring networks and wireless sensor networks (WSN) [2,12,35,46,52,54,58], and (5) event-driven business process management (EDBPM) [57,59,69,71], including the related field of eventdriven service-based systems [49,74].…”

Quality of Service (QoS) Provisions in Wireless Sensor Networks and Related Challenges

“…QoS support at the middleware may also affect some other services such as data acquisition in the data management service. In [15] a framework is proposed which uses services and function for fault detection without recovery. Milan [16] is a middleware approach to provide QoS between the application and the underlying sensor network.…”

Neighbor Co-ordination based Fault Node Detection Algorithm for Distributed Wireless Sensor Networks

“…Several fault node detection and fault diagnosis techniques of distributed WSNs have been proposed in [5][6][7][8][9][10]. Krishnamachari et al [5] have proposed a Bayesian fault identification approach to resolve the fault event disambiguation problem in WSNs.…”

“…In this approach, statistical methods are used to detect the sensors which are having the highest probability of faults. Ruiz et al [7] have proposed an external manager based fault node identification approach for event driven based WSNs. Even though the external manager is capable of performing more complex tasks than the typical SNs, still there exist a problem of communication between the SNs and the external manager.…”