Paper Info
Title
A Novel Queen Honey Bee Migration (QHBM) Algorithm for Sink Repositioning in Wireless Sensor Network.
Abstract
A novel sink repositioning scheme to prolong lifetime in wireless sensor network presents in this paper. The proposed method called Queen honey bee migration (QHBM) algorithm mimics the migration process of queen honey bee in nature. In short, the queen begins her journey to find the new location for hive which assisted by scout bees. Queen may visit several places until she found the place to settle down. Henceforth, sink represents Queen and CH nodes are assigned as scout bees. In QHBM, sink relocates itself from the initial position towards the selected pole of cardinal direction, for example: sink moves towards North pole. The sink movement is guided by CH nodes which have highest remaining energy. After arrived in the new position, sink recalculates parameters for next journey. Sink collects data whenever it arrived in the future position. CH nodes are rotated in each journey of a sink. Therefore, the proposed method can balance the energy consumption among nodes and prolong network lifetime. We conducted simulation and compared the proposed QHBM algorithm with static sink and existing sink repositioning schemes, namely random, rendezvous, and EASR. We clearly found that the network lifetime with all sink repositioning schemes is longer than static sink. The obtained results show that the network lifetime extension by QHBM sink repositioning is 1.2 times of lifetime with static sink. QHBM surpassed random, rendezvous and EASR in lifetime extension for about 1.16, 1.1, and 1.06 times, respectively.
Year
DOI
Venue
2017
10.1007/s11277-017-3991-z
Wireless Personal Communications
Keywords
Field
DocType
QHBM, Wireless sensor network, Sink repositioning, Lifetime
Computer science,Algorithm,Computer network,Real-time computing,Lifetime extension,Rendezvous,Wireless sensor network,Energy consumption,Sink (computing),Honey bee
Journal
Volume
Issue
ISSN
95
3
1572-834X
Citations 
PageRank 
References 
1
0.63
31
Authors
4
Name
Order
Citations
PageRank
Gwo-Jia Jong15918.97
Aripriharta221.34
Hendrick310.96
Gwo-Jiun Horng49923.82