A novel energy-efficient neighbor discovery procedure in a wireless self-organization network

Abstract

Neighbor discovery plays a major role in the wireless self-organizing network, which is the cornerstone for the autonomous coverage extension and performance enhancement such as cooperative transmission and multi-hop transmission. However, the hidden node problem is frequently encountered in neighbor discovery procedure based on the simple flooding due to the uncoordinated transmission, which gives rise to unnecessary energy waste. In this paper, the hidden node problem in the conventional neighbor discovery procedure is analyzed. A novel neighbor discovery procedure with the ability of node distance estimation and power allocation for the packet retransmission after collision is proposed, which utilizes fuzzy location information to properly configure the transmission power of the collided packets for better reception. The proposed algorithm improves the power efficiency of the neighbor discovery procedure by reducing the number of transmissions required for the successful reception with negligible induced complexity. Through the Monte-Carlo simulation, the proposed procedure with fuzzy location information and the power allocation method outperforms the conventional procedure in different node population scenarios, and the proposed procedure is insensitive to the distance estimation error, displaying strong robustness. (C) 2018 Elsevier Inc. All rights reserved.