Retracted: A Data Gathering Method Based on a Mobile Sink for Minimizing the Data Loss in Wireless Sensor Networks

Junho Park,Kyoungsoo Bok,Sanglae Kim,Jaesoo Yoo,Dongook Seong

doi:10.1155/2014/920636

Abstract

The sensor nodes near to the fixed sink node suffer from the quickly exhausted energy. For this, many methods have been researched to distribute the energy consumption into all wireless sensor nodes using a mobile sink. Since the mobile sink changes its location in the network continuously, it has limited time to communicate with the sensor nodes and needs the time to move to each sensor node. Therefore, before the mobile sink approaches the sensor node, the node can collect huge data by event occurrence. It causes the memory overflow of the sensor node and then the data loss. We propose a novel data gathering method based on a mobile sink considering the data loss in wireless sensor networks. The proposed scheme actively sends the stored data to the mobile sink by considering the amount of collected data in the cluster header and the mobile patterns of the sink node. By doing so, it minimizes the data loss of each sensor node. To show the superiority, we compare it with the existing scheme. Our experimental results show that our proposed scheme minimizes the data loss and has similar network lifetime over the existing scheme based on a mobile sink.

Highlights

With the remarkable development of microelectronic device and wireless communication technologies, sensor nodes usedE for the sensor network have enabled miniaturization, low cost, and low power
We propose a novel data gathering method based on a mobile sink considering the data loss in wireless sensor networks
The sensor networks provide information obtained by detection events on interesting targets by taking advantage of sensor nodes

Summary

Introduction

With the remarkable development of microelectronic device and wireless communication technologies, sensor nodes used. According to the data gathering method to collect the data in the sink nodes, the sensing values by the sensor nodes are delivered efficiently to a query node without any data-loss. Various data gathering methods based on static sink nodes have been proposed. The sensor network has one or more sink node to deliver to a user by collecting sensing values by the sensor select the header nodes based on certain conditions and construct clusters that consist of nodes near to them. Because the cluster-based methods collect the sensing values from the member nodes and process the data in header nodes before sending the data to the sink node, they have the advantage that energy can be used .

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Related Works

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