![]() One of the recent and promising anti-jamming techniques is the use of the UAV in mitigating the jamming attacks in wireless networks. Hence, the selected anti-jamming technique should be suitable for the desired application. For instance, the high mobility of the user in the Vehicular Ad-hoc Networks (VANETs) can make frequency hopping-based anti-jamming techniques less effective. Interestingly, some of these techniques may not be effective for some applications. Several anti-jamming techniques have been introduced in the literature including frequency hopping, spectrum spreading, adjusting transmission power, MIMO-based jamming resilient networks and jamming-aware protocols and network design. In other words, the jammer transmits an interfering signal using the same frequency used by the wireless network users. Jamming attacks refers to the unlawful generation of interference to the ongoing communication to disrupt or mislead the users in wireless networks. Hence, wireless networks are still vulnerable to many jamming attacks techniques. For example, the use of UAVs in emergency reporting, data dissemination to the IoT devices and extending the wireless coverage of the remote areas are investigated.Īlthough we witness a huge advancement in wireless networks technologies, radio jamming attacks are still one of the major challenges in wireless networks. The benefits of the UAVs motivate the researchers to adopt them in important applications. Moreover, the use of UAVs in communication networks revolutionized the services provided to the users and introduced new disruptive technologies. Equipping the UAV with a communication capability can support the communication networks with a more flexible infrastructure and a better quality of services. Unmanned aerial vehicles (UAVs) have emerged as promising solutions for many challenges in communication networks. Then, we investigate the performance of the proposed algorithm under different settings and scenarios. This algorithm is Genetic-based and can solve the original optimization problem in a more efficient way. ![]() Due to the difficulty of solving the optimization problem when the scale of the problem is large, we proposed Jamming-Aware UAV Routing and IoT Devices Clustering Algorithm (JA-RC). We modeled our problem mathematically as an integer linear program (ILP). The objective is to minimize the flight time of the UAV while collecting the data from the ground IoT devices in presence of the jamming attack. The IoT devices are clustered, and the UAV collects the data from the cluster heads (CHs) such that the harmful effect of the jammer is mitigated. In this paper, we investigate the problem of optimizing the performance of the UAV data collection from ground IoT devices in presence of a malicious jammer. With proliferation of unmanned aerial vehicle (UAV)-based wireless networks and Internet of Things technologies, jamming attacks have become a major challenge to the practical adoption of these technologies. The jammer transmits jamming signals to disrupt the normal operation of the wireless networks. Locks keep honest people out.Radio jamming represents a serious threat in wireless networks that can cause denial of service (DoS) attacks for the network users. Or just kick in the front door or break a window.Įvery security system is vulnerable to many attack vectors no way to overcome this. It would be easier to just cut the network connection to the house, or even power. Thankfully ST does have a hub disconnect notification, so you would know if the internet was cut, but there is no really good mechanism for a device falling off the network notification. Ultimately, if a jammer were deployed, it would drop the devices off the mesh, until the jammer stopped working, or the signal strength RSI, etc wasn’t strong enough to overcome the transmit radio. Proximity to the hub is the most critical element, but also the distance to each device. There is no reasonable way to overcome this.īut the realities of a powerful enough signal jammer to sustain blocking all devices on a zigbee mesh or zwave or even wifi spectrum are difficult to pull off. If a jammer were able to block the specific frequencies of the radios, then the devices would fall off the network. First of all most devices use Zigbee or Zwave radios, different then WiFi.
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