A modified error-oriented weight positioning model based on DV-Hop

• Penghong Wang,
• Xingjuan Cai,
• Liping Xie,

Vol. 16, No. 2, February 28, 2022
10.3837/tiis.2022.02.003, Download Paper (Free):

• DV-Hop
• modified error-oriented weight model
• genetic algorithm
• convergence analyzes

Abstract

The distance vector-hop (DV-Hop) is one of the emblematic algorithms that use node connectivity for locating, which often accompanies by a large positioning error. To reduce positioning error, the bio-inspired algorithm and weight optimization model are introduced to address positioning. Most scholars argue that the weight value decreases as the hop counts increases. However, this point of view ignores the intrinsic relationship between the error and weight. To address this issue, this paper constructs the relationship model between error and hop counts based on actual communication characteristics of sensor nodes in wireless sensor network. Additionally, we prove that the error converges to 1/6CR when the hop count increase and tendency to infinity. Finally, this paper presents a modified error-oriented weight positioning model, and implements it with genetic algorithm. The experimental results demonstrate excellent robustness and error removal.

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