Abstract
This study presents an energy-efficient location estimation method aimed for mobile nodes in wireless sensor networks. The proposed method is a combination of two operations. Trilateration method is combined with a vector based incremental updates which is implemented by using a digital compass and a speedometer to estimate the location of the mobile node. This combined operation decreases the power consumed from the mobile node trying to locate itself. The proposed method has been implemented on an arduino-based mobile robot with wireless communication peripherals. The implementation shows that the location estimation accuracy is between 0.69-1.97 m from the actual location of the mobile node. The average location estimation error is comparable to other proposed methods for locating mobile sensor nodes. Based on the actual measurement of the test system, the energy consumption of the proposed method is 20% less than the trilateration method alone.
Highlights
Localization of mobile nodes in Wireless Sensor Networks (WSN) is an important process as it reveals the location of the event of interest that is being monitored (Boukerche et al, 2007)
Location estimation methods proposed for WSNs vary from hardware additions to the mobile node such as Global Positioning System (GPS) chip, to the utilization of range based location estimation methods such as trilateration and triangulation (Boukerche et al, 2007; Chan and Boon Hee, 2011)
To address the energy consumption issue, this study proposes an energy efficient location estimation method aimed for mobile WSN nodes
Summary
Localization of mobile nodes in Wireless Sensor Networks (WSN) is an important process as it reveals the location of the event of interest that is being monitored (Boukerche et al, 2007). Location estimation methods proposed for WSNs vary from hardware additions to the mobile node such as Global Positioning System (GPS) chip, to the utilization of range based location estimation methods such as trilateration and triangulation (Boukerche et al, 2007; Chan and Boon Hee, 2011). Routing efficiency can be improved by using the proximity information of neighboring nodes. An efficient and accurate location estimation method can improve the energy utilization of the mobile nodes because of the improved routing. The lifetime of these energy-constrained battery-operated mobile nodes can be improved (Chan and Boon Hee, 2011)
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