A new probabilistic approach for adaptive frequency hopping

Abstract

This paper proposes Utility Based Adaptive Frequency Hopping (UBAFH), an adaptive hopping technique implementing a new paradigm for frequency hopping systems. Traditional adaptive algorithms aim at identifying bad channels that are consequently removed from the hopset. UBAFH instead utilizes all the available frequencies but assigns different usage probabilities to different channels according to the experienced channel conditions. Opportune upper and lower limits are used in order to bound these usage probabilities and achieve a desired level of frequency diversity. We simulate the behavior of UBAFH over frequency selective fading channels and compare the achieved packet error rate and throughput with the ones of IEEE 802.15.1 and with the adaptive frequency hopping implementation proposed by IEEE 802.15.2 showing that UBAFH outperforms both approaches.

Adaptive frequency hopping in industrial Wireless Sensor Networks: A decision-theoretic framework

“…In this simulation, the reliability performance is measured with the packet delivery ratio that is defined as the ratio of the number of successful transmissions and the number of all simulated transmissions. As conventional observation or measurement-based AFH methods [14]- [17] need a rather long observation and learning process, we observe that the reliability performance of existing AFH methods is basically the same as that of BFH in the limited simulation duration. For clarity, we use "BFH" to represent both blind frequency hopping methods [9] [10] and existing AFH methods [14]- [17].…”

“…Although extensive efforts have been devoted to the research on AFH methods, such as the utility-based AFH in Bluetooth systems [14], the entropy maximization-based AFH in wireless medical telemetry systems [15], and the channel evaluation (or measurement)-based AFH for IWSNs [16] [17], the common drawback of existing AFH methods [14]- [17] when applied to IWSNs is the ignorance of the typical bursty nature [18] [19] of the impulsive noise usually present in harsh industrial environments. To the best of our knowledge, there are currently no efficient algorithms coping with the bursty nature of industrial wireless channels.…”

Interference Avoidance Mechanisms in Bluetooth - A Comparative Study

“…This results in longer channel occupancy and therefore higher probability of collisions with concurrent radio links degrading their operation. Stabellini et al propose a so-called Utility Based Adaptive Frequency Hopping (UBAFH) [29], [30]. UBAFH maps the observed packet error rate (PER) to a probability density function that defines the usage probability of each channel.…”

“…UBAFH maps the observed packet error rate (PER) to a probability density function that defines the usage probability of each channel. In [29] the algorithm is evaluated for frequency selective fading channels and in [30] it is additionally evaluated under frequencydynamic interference.…”

Simulation and Analysis on Anti-Jamming Performance of Frequency-Hopping Communication System

“…(frequency hopping spread spectrum communication system, FH-SS)，跳频通信系统原理如图 1 所示 [4] 。跳 频系统是利用二进制伪随机码序列控制载波频率合 成器产生随伪随机码的变化而跳变的本振载波频率， 利用该本振载频将待发射的信号发送出去。跳频通信 是扩展频谱通信技术之一。 载波频率合成器为跳频技术中的关键，其整体仿 真模型 [5,6] 如图 2 所示。 由于本文主要讨论跳频通信系统作为一种通信 机制在不同干扰下的性能表现，故系统仿真框架图中 接收端与发射端使用同一频率合成器 [7] ，接收端并未 设置同步模块。在对系统的抗干扰性进行测试时采用 BPSK 调制的跳频系统，仿真系统 [8] 如图 3 所示。 跳频频带宽度是对抗该种干扰的有效措施 [18] ；对于部 分频带干扰，跳频系统可以采用空闲信道搜索 [19] 及自 适应技术 [20]…”