Multiple-Terminal Aggregation Algorithm for IoT Service | Zendy

Anzhi Wang | Zendy; Yongan Guo | Zendy

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Multiple-Terminal Aggregation Algorithm for IoT Service

Author(s) -

Anzhi Wang,

Yongan Guo

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.01.249

Subject(s) - computer science , terminal (telecommunication) , service (business) , internet of things , algorithm , computer network , computer security , economy , economics

In IoT, the execution of ubiquitous service often requires the cooperation between multiple terminals at the perception layer. In order to reasonably configure the best device set for each user’s business at the service layer, the multiple-terminal aggregation problem (MTAP), was studied based on the representation model of the service model (SM) and resource model (RM). Considering the complexity of the solution, MTAP is then transformed into a multi-choice, multi-dimensional backpack problem (MMKP) by dimensional reduction. Finally, the ant colony optimization-multi-terminal aggregation (ACO-MTA) algorithm for IoT ubiquitous service was proposed. The simulation proved that the ACO-MTA outperforms random selection (RS) or Greedy Algorithm (GA) in terms of comprehensive benefits, utilization of resources and business success rate.

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