DocumentCode
64565
Title
Enabling energy efficient sensory data collection using multiple mobile sink
Author
Madhumathy, P. ; Sivakumar, D.
Author_Institution
Anna Univ., Chennai, India
Volume
11
Issue
10
fYear
2014
fDate
Oct. 2014
Firstpage
29
Lastpage
37
Abstract
Mobile sink is the challenging task for wireless sensor networks (WSNs). In this paper we propose to design an efficient routing protocol for single mobile sink and multiple mobile sink for data gathering in WSN. In this process, a biased random walk method is used to determine the next position of the sink. Then, a rendezvous point selection with splitting tree technique is used to find the optimal data transmission path. If the sink moves within the range of the rendezvous point, it receives the gathered data and if moved out, it selects a relay node from its neighbours to relay packets from rendezvous point to the sink. Proposed algorithm reduces the signal overhead and improves the triangular routing problem. Here the sink acts as a vehicle and collect the data from the sensor. The results show that the proposed model effectively supports sink mobility with low overhead and delay when compared with Intelligent Agent-based Routing protocol (IAR) and also increases the reliability and delivery ratio when the number of sources increases.
Keywords
random processes; routing protocols; trees (mathematics); wireless sensor networks; WSN; biased random walk method; data gathering; energy efficient sensory data collection; intelligent agent-based routing protocol; mobile sink; optimal data transmission path; rendezvous point selection; splitting tree technique; triangular routing problem; wireless sensor networks; Data analysis; Energy efficiency; Mobile communication; Vehicle ad hoc networks; Wireless communication; Wireless sensor networks; biased random walk; data gathering; rendezvous point; sink mobility; wireless sensor network;
fLanguage
English
Journal_Title
Communications, China
Publisher
ieee
ISSN
1673-5447
Type
jour
DOI
10.1109/CC.2014.6969791
Filename
6969791
Link To Document