Target Localization and Autonomous Navigation Using Wireless Sensor Networks-A Pseudogradient Algorithm Approach

被引:47
|
作者
Deshpande, Nikhil [1 ]
Grant, Edward [1 ]
Henderson, Thomas C. [2 ]
机构
[1] N Carolina State Univ, Dept Elect & Comp Engn, Raleigh, NC 27695 USA
[2] Univ Utah, Sch Comp, Salt Lake City, UT 84112 USA
来源
IEEE SYSTEMS JOURNAL | 2014年 / 8卷 / 01期
关键词
Goal-directed navigation; pseudo topological gradient; wireless received signal strength (RSS); wireless-sensor-network (WSN)-assisted target localization; MOBILE ROBOT;
D O I
10.1109/JSYST.2013.2260631
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Autonomous mobile robots (AMRs) operating in unknown environments face twin challenges: 1) localization and 2) efficient directed navigation. This paper describes a two-tiered approach to solving these challenges: 1) by developing novel wireless-sensor-network (WSN)-based localization methods and 2) by using WSN-AMR interaction for navigation. The goal is to have an AMR travel from any point within a WSN-covered region to an identified target location without the aid of global sensing and position information. In this research, the target is reached as follows: 1) by producing a magnitude distribution within the WSN region that has a target-directed pseudogradient (PG) and 2) by having the WSN efficiently navigate the AMRs using the PG. This approach utilizes only the topology of the network and the received signal strength (RSS) among the sensor nodes to create the PG. This research shows that, even in the absence of global positioning information, AMRs can successfully navigate toward a target location using only the RSS in their local neighborhood to compute an optimal path. The utility of the proposed scheme is proved through extensive simulation and hardware experiments.
引用
收藏
页码:93 / 103
页数:11
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