Performance Evaluation of Probabilistic Next-Hop Selection in Intermittent Wireless Multihop Sensor Networks

S. Kumagai, H. Higaki
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Abstract

Wireless sensor networks are expected to be critical platforms for IoT systems consisting of various wireless sensor nodes without continuous battery power supply. Due to limited transmission power, wireless multihop transmissions of sensor data messages to the sink node are mandatory. Thus, low-power forwarding based on intermittent communication in each intermediate wireless sensor node is required. However, it is difficult for intermediate wireless sensor nodes to select their next-hop node since on-off intervals and current locations of their neighbor wireless sensor nodes are not always achieved due to the intermittent communication environments. This paper proposes a novel probabilistic next-hop selection and evaluates the performance improvement, i.e., reduction of transmission delay and battery power consumption.
间歇无线多跳传感器网络中概率下一跳选择的性能评估
无线传感器网络有望成为由各种无线传感器节点组成的物联网系统的关键平台,而不需要持续的电池供电。由于传输功率有限,传感器数据报文必须通过无线多跳传输到汇聚节点。因此,需要在每个中间无线传感器节点中实现基于间歇通信的低功耗转发。然而,由于间歇性的通信环境,相邻无线传感器节点的开断间隔和当前位置并不总是确定,使得中间无线传感器节点很难选择下一跳节点。本文提出了一种新的概率下一跳选择方法,并对其性能改进进行了评估,即降低了传输延迟和电池功耗。
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