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论文类型：期刊论文

发表时间：2018-05-01

发表刊物：SUSTAINABLE CITIES AND SOCIETY

收录刊物：SCIE、EI、Scopus

卷号：39

页面范围：298-308

ISSN号：2210-6707

关键字：WSN; Received signal strength indicator (RSSI); Path loss exponent (PLE); 3D weighted centroid localization algorithm; Maximum likelihood estimation (MLE)

摘要：The existing research is about location tracking either completely indoor or altogether on open air by utilizing various sensors and procedures based on inter-networking or internet of things. A limited arrangement has been proposed to embrace a single location area detecting innovation that based on both environments using physical devices. This paper intends to track a client position in both indoor and open-air situations by utilizing a single remote sensor with negligible subsequent bumble. The huge majority of the existing localization arrangements use additional equipment supplies to accomplish higher limitation precision. Received signal strength indicator (RSSI) was the standard element of remote sensors; the localization methods won't have any extra equipment. To overcome the problems, we need to study how to grow more precision distance for the strength of the signal model and 3dimensional measurement techniques. The Path Loss Exponent (PLE) determines the separation of RSS. In this event that RSS diminish at the separation, PLE will measure the rate; its esteem depends on the extraordinary proliferation environment. For positioning, the system requires location data. Most part use two-dimensional positioning as a part of the system with moving toward localization with three-dimensional positioning with weighted centroid restriction calculation as a proposed work. Here considers the triangular pyramid to perform three-dimensional positioning instead of three circle intersection method, in which the pyramid is divided into four two-dimensional surfaces. It consists of different parts of the environment where transmitter and receiver's parts have the different PLE when compared to others existing research. Many researchers used two-dimensional positioning system, however, some circumstances we have to go through in three-dimensional position system. So, the proposed idea is basically based on the three-dimensional centroid limitation of systems.