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Non-Preference Bi-Objective Compound Event Barrier Coverage Algorithm in 3-D Sensor Networks
Author(s) -
Yaoming Zhuang,
Chengdong Wu,
Yunzhou Zhang
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2849995
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
With the increase of complexity of monitoring tasks in wireless sensor networks, using a single kind of sensor can no longer fit the strict monitoring requirements. Nowadays, event coverage is widely applied to detect events accurately by utilizing diverse kinds of sensors. The traditional 2-D event model cannot meet the actual monitoring requirements, and there will be many kinds of complicated constraints in the environment. Therefore, a compound event model with multiple constraints is put forward to 3-D sensor networks. Simultaneously, a compound event barrier coverage algorithm on the basis of non-preference bi-objective evolution (NPBO) strategy is presented in multiple constraints sensor networks. The proposed algorithm introduces a non-preference α-dominance mechanism to solve the low efficiency problem of multi-objective evolutionary under multiple constraints. A large number of experimental results indicate that the NPBO mechanism is more high-efficient than the latest algorithm in allocating sensor resources.

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