Adaptive beam nulling in multihop ad hoc networks against a jammer in motion

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• 作者：Suman Bhunia ; ^{sbhunia@nevada.unr.edu" class="auth_mail" title="E-mail the corresponding author} ; ^{sumanbhunia@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Vahid Behzadan ^{vbehzadan@unr.edu" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Paulo Alexandre Regis ^{pregis@nevada.unr.edu" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Shamik Sengupta Author Vitae
• 关键词：Beam nulling ; Multihop ; Ad hoc ; Anti-Jamming ; Mobility ; VANET ; FANET ; 3D mesh ; Ns-3
• 刊名：Computer Networks
• 出版年：2016
• 出版时间：9 November 2016
• 年：2016
• 卷：109
• 期：part_P1
• 页码：50-66
• 全文大小：2503 K

文摘

In multihop ad hoc networks, a jammer can drastically disrupt the flow of information by intentionally interfering with links between a subset of nodes. The impact of such attacks can escalate when the jammer is moving. As a countermeasure for such attacks, adaptive beam-forming techniques can be employed for spatial filtering of the jamming signal. This paper investigates the performance of adaptive beam nulling as a mitigation technique against jamming attacks in multihop ad hoc networks. Considering a moving jammer, a distributed beam nulling framework is proposed. The framework uses periodic measurements of the RF environment to detect direction of arrival (DoA) of jamming signal and suppresses the signals arriving from the current and predicted locations of the jammer. Also, in the calculation of the nulled region, this framework considers and counters the effects of randomness in the mobility of the jammer, as well as errors in beam nulling and DoA measurements. Survivability of links and connectivity in such scenarios are studied by simulating various node distributions and different mobility patterns of the attacker. Also, the impact of errors in the estimation of DoA and beam-forming on the overall network performance is also examined. In comparison with an omnidirectional configuration, results indicate a 57.27% improvement in connectivity under jamming when the proposed framework is applied.