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Journal of Sensors
Volume 2015, Article ID 279304, 8 pages
http://dx.doi.org/10.1155/2015/279304
Research Article

Data Transmission Scheme Using Mobile Sink in Static Wireless Sensor Network

1School of Computer Science and Engineering, Kyungpook National University, 411-1, IT Building 4, 80 Daehak-ro, Buk gu, Daegu 702-701, Republic of Korea
2Department of Electrical Engineering, National Cheng Kung University, No. 1 University Road, Tainan 701, Taiwan

Received 20 March 2015; Accepted 21 May 2015

Academic Editor: Marco Anisetti

Copyright © 2015 Awais Ahmad et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Multihop communication in wireless sensor network (WSN) brings new challenges in reliable data transmission. Recent work shows that data collection from sensor nodes using mobile sink minimizes multihop data transmission and improves energy efficiency. However, due to continuous movements, mobile sink has limited communication time to collect data from sensor nodes, which results in rapid depletion of node’s energy. Therefore, we propose a data transmission scheme that addresses the aforementioned constraints. The proposed scheme first finds out the group based region on the basis of localization information of the sensor nodes and predefined trajectory information of a mobile sink. After determining the group region in the network, selection of master nodes is made. The master nodes directly transmit their data to the mobile sink upon its arrival at their group region through restricted flooding scheme. In addition, the agent node concept is introduced for swapping of the role of the master nodes in each group region. The master node when consuming energy up to a certain threshold, neighboring node with second highest residual energy is selected as an agent node. The mathematical analysis shows that the selection of agent node maximizes the throughput while minimizing transmission delay in the network.