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Title

A modified distributed bees algorithm for multi-sensor task allocation

AuthorsTkach, Itshak; Jevtić, Aleksandar; Nof, Shimon Y.; Edan, Yael
KeywordsDistributed task allocation
Multi-agent systems
Sensor deployment
Swarm intelligence
Issue Date2018
PublisherMultidisciplinary Digital Publishing Institute
CitationSensors 18(3): 759 (2018)
AbstractMulti-sensor systems can play an important role in monitoring tasks and detecting targets. However, real-time allocation of heterogeneous sensors to dynamic targets/tasks that are unknown a priori in their locations and priorities is a challenge. This paper presents a Modified Distributed Bees Algorithm (MDBA) that is developed to allocate stationary heterogeneous sensors to upcoming unknown tasks using a decentralized, swarm intelligence approach to minimize the task detection times. Sensors are allocated to tasks based on sensors’ performance, tasks’ priorities, and the distances of the sensors from the locations where the tasks are being executed. The algorithm was compared to a Distributed Bees Algorithm (DBA), a Bees System, and two common multi-sensor algorithms, market-based and greedy-based algorithms, which were fitted for the specific task. Simulation analyses revealed that MDBA achieved statistically significant improved performance by 7% with respect to DBA as the second-best algorithm, and by 19% with respect to Greedy algorithm, which was the worst, thus indicating its fitness to provide solutions for heterogeneous multi-sensor systems.
Publisher version (URL)https://doi.org/10.3390/s18030759
URIhttp://hdl.handle.net/10261/167138
DOIhttp://dx.doi.org/10.3390/s18030759
Identifiersdoi: 10.3390/s18030759
e-issn: 1424-8220
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