A centralized preventive maintenance strategy for wireless sensor networks

Azzaz, Skander; Saı̈dane, Leı̈la Azouz

doi:10.1145/2386980.2386993

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…It allows recovering from several types of failures. Other works [77] [78] proposed the use of robots to deploy new nodes instead of failed nodes. This technique needs to predefine a strategy for the moves of the robots to minimize the distance traveled by each robot and the node deployment time.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…Thus, the recommended mechanism for restoring coverage or connectivity, lost after a unique sensor failure, is the CoMN2 [75] which uses a mobile node to replace the failed sensor. In case of simultaneous failures, we combine DORMS [72] A C C E P T E D M A N U S C R I P T with CoMN2 or robots based mechanisms [77] [78]. Thus, DORMS restores the connectivity by reorganizing the mobile relay nodes, while the second mechanism improves the coverage by replacing the failed sensors by new sensors.…”

Section: Crop Monitoring Scenariomentioning

confidence: 99%

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A survey on fault tolerance in small and large scale wireless sensor networks

Chouikhi

Korbi

Ghamri‐Doudane

et al. 2015

Computer Communications

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116

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Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Crop Monitoring Scenariomentioning

confidence: 99%

A survey on fault tolerance in small and large scale wireless sensor networks

Chouikhi

Korbi

Ghamri‐Doudane

et al. 2015

Computer Communications

Self Cite

116

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“…: CMA, FDMA and DDMA. In Section 3, we introduce our analytical energy dissipation model presented in . In the following section, we focus on the centralised WSN maintenance approach: CPMS.…”

Section: Introductionmentioning

confidence: 99%

Maintenance strategies for wireless sensor networks: from a reactive to a proactive approach

Azzaz

Saı̈dane

2013

Trans. Emerging Tel. Tech.

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In this paper, we have introduced three proactive maintenance strategies for static wireless sensor networks (WSNs) using a limited number of mobile maintainer robots: the centralised proactive maintenance strategy denoted by CPMS, the fixed distributed proactive maintenance strategy denoted by FDPMS and the adaptive distributed proactive maintenance strategy denoted by ADPMS. The proposed maintenance strategies are based on a simple energy dissipation analytical model to estimate the occurrence times of the expected sensor failures in the network. Once identified, the anticipated failures are replaced by the available robots before they happen. To select the appropriate maintainer robot for each expected failure, CPMS opts for a centralised scheduling method based on the genetic algorithm fundamentals. However, the distributed maintenance strategies (FDPMS and ADPMS) use two different WSN area partitioning methods to share the sensor maintenance tasks among the available robots. Simulation results have shown that CPMS gives the minimal network dysfunction time representing the interruption service time induced by the detected faulted nodes. However, due to its significant signalling cost, we have remarked that CPMS can be deployed only in small scale WSNs. In large-scale ones, ADPMS has demonstrated its efficiency in terms of the network dysfunction time, the robot travelled distance and the introduced signalling cost. In particular cases, when sensor failures are uniformly distributed on the network map, FDPMS has given the best performances. INTRODUCTIONProviding a continuous service is the main requirement for many wireless sensor network (WSN) applications. To achieve this goal, the WSN must deploy a set of mechanisms to protect the network coverage from the eventual sensor failures. In literature, many approaches have been proposed to conserve the initial WSN quality of service (QoS) parameters and restore the coverage and the connectivity upon a sensor failure such as the use of mobile wireless sensors [1] and the exploiting of the nodes redundancy in the network [2]. However, in order to reduce the maintenance strategy deployment cost, Y. Mei et al.[3] proposes to use a small number of mobile robots to deal with the detected sensor failures in a static WSN. Indeed, in [3], Y. Mei and all have presented a set of algorithms to detect, report and handle the occurred sensor failures in the WSN. Thus, three approaches are introduced to coordinate the robot motions: (i) the centralised manager algorithm (CMA); (ii) the fixed distributed manager algorithm (FDMA); and (iii) the Dynamic Distributed Manager Algorithm (DDMA).By reacting after the sensor failures detection, the classical WSN maintenance approaches (CMA, FDMA and DDMA) can cause the service interruption during the failure recovery times. The network dysfunction time ratio induced by the faulted node cannot be tolerable by many real-time WSN application types such as surveillance and military applications [4]. In this paper, we introduce newer proactiv...

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A Preventive Energy-Aware Maintenance Strategy for Wireless Sensor Networks

Azzaz

Saı̈dane

2014

Ad-Hoc, Mobile, and Wireless Networks

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A centralized preventive maintenance strategy for wireless sensor networks

Cited by 3 publications

References 7 publications

A survey on fault tolerance in small and large scale wireless sensor networks

A survey on fault tolerance in small and large scale wireless sensor networks

Maintenance strategies for wireless sensor networks: from a reactive to a proactive approach

A Preventive Energy-Aware Maintenance Strategy for Wireless Sensor Networks

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