|Table of Contents|

Mechanism of bionic swarm intelligence optimization based node scheduling for WSNs

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2016年05期
Page:
573-
Research Field:
Publishing date:

Info

Title:
Mechanism of bionic swarm intelligence optimization based node scheduling for WSNs
Author(s):
Xu HuiyaWang DayuChai Zhengyi
School of Computer Science and Technology,Zhoukou Normal University,Zhoukou 466001,Chin
Keywords:
wireless sensor networks node scheduling bat algorithm network coverage network reliability
PACS:
TP212
DOI:
10.14177/j.cnki.32-1397n.2016.40.05.012
Abstract:
For making the better node scheduling strategy of wireless sensor networks(WSNs)of the perception layer internet of things to minimize the energy consumption,maximize the network lifetime and optimize the network performance,the problem is transformed into a combinatorial optimization problem with constraints.A new WSNs node scheduling algorithm under the non-uniform conditions is proposed here based on the meta-heuristic bat algorithm which has the low parameter setting and the fast convergence when solving complex combinatorial optimization problems.The comparative analysis of simulation experiment shows that,the proposed algorithm is the most efficient,and it has the lowest energy consumption,the shortest time delay and the best reliability in the wireless sensor network node scheduling.Compared with the artificial immune algorithm and the particle swarm algorithm,the average energy consumption of the network nodes is reduced by 10.8% and 3.5%,respectively.

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Last Update: 2016-10-30