JOURNAL OF COMPUTERS (JCP)

ISSN : 1796-203X

Volume : 4 Issue : 11 Date : November 2009

**Efficient Intelligent Localization Scheme for Distributed Wireless Sensor Networks**

Chunlai Chai

Page(s): 1159-1166

Full Text: PDF (331 KB)

**Abstract**

To estimate location accurately in distributed wireless sensor networks (WSNs), an efficient

intelligent position estimation scheme is proposed which needs fewer known nodes without

calculating relative positions. The proposed intelligent localization scheme includes two phases. In

the first phase, an initialization location algorithm is adopted, where known nodes broadcast their

positions and one-hop distances, and then unknown nodes use the received information and

operate weighted estimation algorithm to calculate their initial positions. In the second phase, an

optimized location algorithm is employed. Unknown nodes exchange information with their

neighbors and operate a modified weighted estimation algorithm to refine their positions

repeatedly. Additionally, a location scheme also is proposed to solve the problem that a node only

has two neighbors. Detailed simulation results show that, the proposed scheme can decrease the

average position error down to 9% radio range, and increase the average number of located nodes

up to 78% when connectivity is greater than 12 in 20% known node ratio.

**Index Terms**

ingtellignent localization, wireless sensor networks, distributed algorithm

ISSN : 1796-203X

Volume : 4 Issue : 11 Date : November 2009

Page(s): 1159-1166

Full Text: PDF (331 KB)

intelligent position estimation scheme is proposed which needs fewer known nodes without

calculating relative positions. The proposed intelligent localization scheme includes two phases. In

the first phase, an initialization location algorithm is adopted, where known nodes broadcast their

positions and one-hop distances, and then unknown nodes use the received information and

operate weighted estimation algorithm to calculate their initial positions. In the second phase, an

optimized location algorithm is employed. Unknown nodes exchange information with their

neighbors and operate a modified weighted estimation algorithm to refine their positions

repeatedly. Additionally, a location scheme also is proposed to solve the problem that a node only

has two neighbors. Detailed simulation results show that, the proposed scheme can decrease the

average position error down to 9% radio range, and increase the average number of located nodes

up to 78% when connectivity is greater than 12 in 20% known node ratio.