Open AccessCooperative computing schemes in wireless sensor networks
Author(s) -
Zha Yukun,
Zhi Hui,
Fang Xiaotong
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2019.1162
Subject(s) - computer science , node (physics) , task (project management) , wireless sensor network , scheme (mathematics) , distributed computing , energy consumption , computer network , edge computing , wireless , enhanced data rates for gsm evolution , telecommunications , mathematical analysis , ecology , mathematics , management , structural engineering , engineering , economics , biology
This study proposes three‐node cooperative computing schemes for wireless sensor networks (WSNs), including parallel offload cooperative computing (POCC) and serial offload cooperative computing (SOCC). The cooperation system includes a task node with execution tasks and two peer help nodes. Specifically, the authors fully mobilise the computing and communication resources in the network by means of cooperative computing to minimise the energy consumption of processing tasks in the WSN while satisfying the delay constraints. The authors characterise these problems as optimal problems and find the optimal solutions using corresponding iterative algorithms, respectively. The simulation results show the superior performance of the proposed schemes in terms of energy consumption and node fairness. For different cases the superiority of POCC and SOCC is verified separately, and the SOCC is more suitable for the case where task node is located at the edge of WSN. Furthermore, the authors introduce a trade‐off scheme between POCC and SOCC, which can always achieve the optimal scheme in different cases.