A Distributed Task Allocation Strategy for Collaborative Applications in Cluster-Based Wireless Sensor Networks

Wang, Feng; Han, Guangjie; Jiang, Jinfang; Qiu, H.

doi:10.1155/2014/964595

Cited by 14 publications

(4 citation statements)

References 19 publications

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“…This collaboration between sensor nodes achieves optimization on the energy consumption. Finally, in [22] a task allocation strategy, called DTAC, is proposed. DTAC consists of two steps: task layering and task allocation.…”

Section: Task Assignment In Wsnsmentioning

confidence: 99%

On Event/Time Triggered and Distributed Analysis of a WSN System for Event Detection, Using Fuzzy Logic

Dima

Antonopoulos²,

Koubias³

2016

Journal of Sensors

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Event detection in realistic WSN environments is a critical research domain, while the environmental monitoring comprises one of its most pronounced applications. Although efforts related to the environmental applications have been presented in the current literature, there is a significant lack of investigation on the performance of such systems, when applied in wireless environments. Aiming at addressing this shortage, in this paper an advanced multimodal approach is followed based on fuzzy logic. The proposed fuzzy inference system (FIS) is implemented on TelosB motes and evaluates the probability of fire detection while aiming towards power conservation. Additionally to a straightforward centralized approach, a distributed implementation of the above FIS is also proposed, aiming towards network congestion reduction while optimally distributing the energy consumption among network nodes so as to maximize network lifetime. Moreover this work proposes an event based execution of the aforementioned FIS aiming to further reduce the computational as well as the communication cost, compared to a periodical time triggered FIS execution. As a final contribution, performance metrics acquired from all the proposed FIS implementation techniques are thoroughly compared and analyzed with respect to critical network conditions aiming to offer realistic evaluation and thus objective conclusions’ extraction.

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Section: Task Assignment In Wsnsmentioning

confidence: 99%

On Event/Time Triggered and Distributed Analysis of a WSN System for Event Detection, Using Fuzzy Logic

Dima

Antonopoulos²,

Koubias³

2016

Journal of Sensors

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“…Many task allocation algorithms have been proposed for cluster-based WSNs [18, 20]. We also proposed a distributed task allocation strategy for collaborative applications (DTAC) in cluster-based WSNs [24]. In order to further improve the efficiency of task allocation, balance the energy consumption of sensor nodes, and prolong the network lifetime, the concepts of score and ranking domain are introduced in the paper.…”

Section: Score Incentive Mechanism and Ranking Domainmentioning

confidence: 99%

A Task Allocation Algorithm Based on Score Incentive Mechanism for Wireless Sensor Networks

Wang

Han

Jiang

et al. 2015

International Journal of Distributed Sensor Networks

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A wireless sensor network (WSN) consists of many resource constraint sensor nodes, which are always deployed in unattended environment. Therefore, the sensor nodes are vulnerable to failure and malicious attacks. The failed nodes have a heavily negative impact on WSNs' real-time services. Therefore, we propose a task allocation algorithm based on score incentive mechanism (TASIM) for WSNs. In TASIM, the score is proposed to reward or punish sensor nodes' task execution in cluster-based WSNs, where cluster heads are responsible for task allocation and scores' calculation. Based on the task scores, cluster members can collaborate with each other to complete complex tasks. In addition, the uncompleted tasks on failed nodes can be timely migrated to other cluster members for further execution. Furthermore, the uncompleted tasks on death nodes can be reallocated by cluster heads. Simulation results demonstrate that TASIM is quite suitable for real-time task allocation. In addition, the performance of the TASIM is clearly better than that of conventional task allocation algorithms in terms of both network load balance and energy consumption.

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“…Once the intruder appeared, it was visible to at least one guard at all times. Feng Wang 18 used cluster method on wireless sensor networks. It was generally known that the ability of a single sensor node was limited, they could only perform tasks well by collaborating with each other.…”

Section: Introductionmentioning

confidence: 99%

Clustering-based task coordination to search and rescue teamwork of multiple agents

Shi

Zhang

Sun

et al. 2019

International Journal of Advanced Robotic Systems

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It is important to have reasonable task coordination and path planning in rescue operations after a large-scale urban disaster. Whereas, there are many problems which can hamper rescue operations, such as communication obstacles, collapsed buildings, and secondary disaster. This article proposes a novel approach named ISODATA-K to achieve the task coordination and execution with heterogeneous ad hoc multi-agent. Inspired by the clustering analysis, ISODATA-K method, which does not require any input and threshold parameters, assigns the rescue agents to every area of the damaged city adaptively and efficiently. When the rescue agents get respective task, the path planning is done by A* algorithm which costs little time to find the relatively short route. The results of experiments demonstrate that the proposed method allows satisfactory rescue operations.

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A Distributed Task Allocation Strategy for Collaborative Applications in Cluster-Based Wireless Sensor Networks

Cited by 14 publications

References 19 publications

On Event/Time Triggered and Distributed Analysis of a WSN System for Event Detection, Using Fuzzy Logic

On Event/Time Triggered and Distributed Analysis of a WSN System for Event Detection, Using Fuzzy Logic

A Task Allocation Algorithm Based on Score Incentive Mechanism for Wireless Sensor Networks

Clustering-based task coordination to search and rescue teamwork of multiple agents

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