An Energy-Efficient Data Collection Mechanism in Wireless Sensor Networks with A Mobile Sink

• Main Authors: Sin-yan Tasi, 蔡欣晏
• Other Authors: Wen-Hwa Liao
• Format: Others
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/45021340862341912620

碩士 === 大同大學 === 資訊經營學系(所) === 100 === In wireless sensor networks, how to effectively collect is a very important issue. In general, sensing data using multi-hop collection data to the sink, but more closer sink sensor will spend more energy, the battery will exhausted. Thus, we can use mobile sink move to collect data, and balance the energy consumption of sensor nodes. In this paper, we propose using mobile sink collect data in wireless sensor networks, first the sensor nodes are distributed throughout the network environment, and then use the depth-first visit to all the sensor nodes connected to each other. But depth-first visit and can’t make all the sensor nodes connected path be the shortest path. Next, we use the Steiner Minimum Tree (SMT) algorithm to optimize link path between each node. In this paper, we consider mobile sink energy efficiency, even if all the sense nodes in wireless sensor networks are the shortest connection path of sensor nodes, mobile sink not enough energy to collect all sensor nodes, so we proposed method to calculate the terminal node, using terminal node can let terminal node transmission with each other nodes, this method can be calculated mobile sink for mobile reception of consuming electricity, mobile sink depending on the number of sensors give the left sub-tree and right sub-tree weight, the sensor nodes can be based on the mobile sink power planning of sensor nodes required to generation number of sensor nodes to save mobile sink mobile path. The experimental results, the using mobile collection mechanism in wireless sensor networks can save power consumption. Therefore, we propose an energy-efficient data collection mechanism in wireless sensor networks with a mobile sink. Our proposed method is indeed a high efficiency and good performance.