Energy-efficient multiple itinerary planning for mobile agents-based data aggregation in WSNs

Damianos Gavalas (), Ioannis E. Venetis (), Charalampos Konstantopoulos () and Grammati Pantziou ()
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Damianos Gavalas: University of the Aegean
Ioannis E. Venetis: Technological Educational Institution of Athens
Charalampos Konstantopoulos: University of Piraeus
Grammati Pantziou: Technological Educational Institution of Athens

Telecommunication Systems: Modelling, Analysis, Design and Management, 2016, vol. 63, issue 4, No 4, 545 pages

Abstract: Abstract Data aggregation is recognized as a key method for reducing the amount of network traffic and the energy consumption on wireless sensor network nodes. Mobile agent (MA) technology represents a distributed computing paradigm which has been proposed as a means for increasing the energy efficiency of data aggregation tasks and addressing the scalability problems of centralized methods. Nevertheless, the itineraries followed by travelling MAs largely determine the overall performance of the data aggregation applications. Along this line, this article introduces a novel algorithmic approach for energy-efficient itinerary planning of MAs engaged in data aggregation tasks. Our algorithm adopts an iterated local search approach in deriving the hop sequence of multiple travelling MAs over the deployed source nodes. Simulation results demonstrate the performance gain of our method against existing multiple MA itinerary planning methods.

Keywords: Wireless sensor networks; Mobile agents; Itinerary planning; Routing; Optimization; Iterated local search; Data aggregation; Simulation (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11235-016-0140-z

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