关键词: 接收信号强度指示, 期望值规划, 果蝇优化, 弧形分组, 混合变异

Abstract: This paper firstly transforms the conventional RSSI positioning model into a non-constrained expected value programming model. Secondly, one such model is solved by developing a novel fruit fly optimization algorithm in stochastic environments in order to seek the location of the unknown node. In this algorithm, the current fruit fly population is divided into sub-populations by arc grouping, and subsequently a hybrid mutation strategy is implemented to find the optimal solution. Comparative numerical experiments have validated that the algorithm, with high-efficient convergence and high positioning accuracy, is feasible in solving engineering RSSI positioning.

Key words: Received Signal Strength Indicator（RSSI）, expected value programming, fruit fly optimization, arc grouping, hybrid mutation