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This paper presents a control and communication systems for Unmanned Ground Vehicle (UGV) – Micro Air Vehicle (MAV) based surveillance. Radio Frequency (RF) based relay communication system is used to communicate between the ground station and vehicles. These vehicle systems are meant to address a large number of civilian and military applications...
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... The design of MAV resembles bottom-up approach enhanced with bio mimicry to develop a flapping wing MAV. Inspirations were taken from birds which 4.225 create lift by flapping its wing and navigate through its tail. System to control and communicate was developed with the efforts of mechatronics. The control loop diagram, as shown in Fig. 2(a), for both FPV system and control of MAV, starts with collecting all the sensor and video data which are streamed back to the ground control station from on-board computer. After processing these data, control commands are sent back to the MAV by a custom interface and the trainer function on X-bee transreciever which allows switching ...
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... collecting all the sensor and video data which are streamed back to the ground control station from on-board computer. After processing these data, control commands are sent back to the MAV by a custom interface and the trainer function on X-bee transreciever which allows switching between computer and human control. The motor M1, as shown in Fig. 2(b) circuit diagram, drives the flapping mechanism and M2 controls the tail navigation. These motors are controlled using Atmel's Atmega 16L microprocessor for its small size and inbuilt PWM ports, resulting into elimination of motor controlling IC causing weight reduction of circuit board. A 2.4GHz X-bee transceiver is interfaced to ...
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This paper represents a communication and control systems based surveillance for Unmanned Ground Vehicle (UGV) – Micro Air Vehicle (MAV). Radio Frequency (RF) relay based control and communication system is used to communicate between the vehicles and ground station. These control systems are meant to inscribe a large number of military and civilia...
Citations
... Similarly, the protocols presented in [34][35][36][37][38][39] are not appropriate for UMDV communication because they focus on path planning information and location requirements. ...
Unmanned mine detection vehicles (UMDVs) have been used for military missions to detect and deactivate mines and reduce military and civilian casualties. UMDVs must cover an area of several kilometers to detect mines. Hence, a central coordination system is required for these UMDVs, and it has been achieved via the development of a vehicular ad hoc network (VANET). UMDVs can communicate with each other by broadcasting mine detection messages (MDMs) to incoming vehicles in VANET without infrastructure installations. Therefore, a novel mine detection vehicle routing (MDVR) protocol has been developed to create an ad hoc communication network among UMDVs. The protocol performs cluster-based multicast communication in real time. It adapts to dynamic scenarios by proposing a priority-based cluster head election scheme (PBCHE) and introducing cluster adaptability level schemes. Network simulator results show that the MDVR protocol can reduce the overhead and delay in MDM dissemination. In addition, the MDVR protocol shows promising results in terms of throughput, packet delivery ratio, and cluster stability.
... Miniature air vehicle (MAV) plays an indispensable role in a wide range of military applications such as tracking [1,2], reconnaissance [3], and relay communication [4,5]. For decades, MAV has received considerable critical attention and has synchronously developed in two fields, including microaircrafts based on bionic design and cyborg insects whose locomotion are controlled by artificial stimulation modules. ...
The artificial locomotion control strategy is the fundamental technique to ensure the accomplishment of the preset assignments for cyborg insects. The existing research has recognized that the electrical stimulation applied to the optic lobes was an appropriate flight control strategy for small insects represented by honeybee. This control technique has been confirmed to be effective for honeybee flight initiation and cessation. However, its regulation effect on steering locomotion has not been fully verified. Here, we investigated the steering control effect of honeybee by applying electrical stimulation signals with different duty cycles and frequencies on the unilateral optic lobes and screened the stimulus parameters with the highest response successful rate. Moreover, we confirmed the effectiveness of steering control by verifying the presence of rotation torque on tethered honeybees and the body orientation change of crawling honeybees. Our study will contribute some reliable parameter references to the motion control of cyborg honeybees.
... By using this, the author achieves the throughput by 80% on average. Tripathi et al. (2015) discussed RF-based control and communication system, and communication was established between Unmanned Ground Vehicle (UGV) and Micro Air Vehicle (MAV) for surveillance. To operate MAV wirelessly without a pilot, the author uses the first-person view approach, and this system also included controlling and coordination techniques for surveillance. ...
To boost network performance in terms of QoS, the main approach to be considered is Heterogeneous Networks (HetNet) deployment. The deployment of random HetNet supports users with a better Quality of Service (QoS) by providing an efficient mechanism for proper data dissemination. Furthermore, UAVs can be used to deliver services for provisioning high QoS effectively and efficiently, because of their characteristics such as easy to deploy, a line of sight, low propagation delay, immediate availability, and reliability. The combination of UAV and dynamic Ground Users (GU), where GU is connected through random HetNet, is one of the examples of UAVs assisted network. This paper shows the comparative performance evaluation of random HetNet for a real communication scenario: with and without UAVs assisted. Work is presented into two parts: The first one explains the concept of random HetNet and Random Waypoint Mobility Model (RWPM) for simulating the network for better QoS. The second part investigates the comparison of QoS parameters for the GUs connected in a random HetNet assisted by UAVs versus without UAVs. The article concludes that random HetNet assisted by UAVs supports better QoS.
... Author uses the context aware MM reinforcement learning technique and achieves throughput by 80% on an average. [19] Presented a radio frequency based control and communication system, used to establish communication between Unmanned Ground Vehicle (UGV) and Micro Air Vehicle (MAV) for surveillance purpose. Author discussed an integrated on board system of the ground vehicles and uses a first person view approach to operate MAV wirelessly without pilot. ...
The interfacing between Unmanned Aerial Vehicle (UAVs) aerial nodes and Dynamic Ground Users (GUs) provides large applications in the field of surveillance, navigation, disaster monitoring, data acquisition, homeland security, etc. UAV assisted random heterogeneous network is an instance of such hybrid network. With the movement of mass users’ typical cellular network faces many transmission delays and poor Quality of Services (QoS). To improve the transmission delays and QoS, we have proposed a suitable UAV Assisted Random Heterogeneous Network. This is a survey paper of such random heterogeneous network (HetNet) model that will depict a real communication scenario with the assistance of optimally placed aerial nodes (i.e. UAVs have been deployed to control the data flow among ground-level users which are dynamic in nature). The purpose of this proposed network is improved data dissemination and lesser delays that support users with better QoS. The paper extends the study of the network because of its variant advantages and applications over traditional networks in terms of high speed data, mobility, and scalability with the assistance of UAVs.
Unmanned ground vehicles (UGVs) are becoming the foremost part of rescue teams for protecting human lives from severe disasters and reducing human casualties by informing them about the risks ahead, such as mine detection and clearance. In mine detection, a centralized system is required so that the UGVs can communicate with each other efficiently to disseminate the mine detection messages (MDMs) to incoming vehicles of military and civilians. Therefore, in this piece of research, a novel unmanned ground and aerial vehicle (UGAV)-based mine-detection-vehicle routing (MDVR) protocol has been proposed, mainly for the mine detection and clearance teams using a vehicular ad hoc network (VANET). The protocol disseminates the MDMs using UGVs and unmanned aerial vehicles (UAVs) in combination to overcome the limitations of only inter-UGV communication. The proposed protocol performs cluster-based multicast communication in real time using UAVs so that the dynamic mobility of UGVs cannot affect the performance of MDM dissemination. Hence, the proposed scheme is adaptable because any failure in message delivery can cause a high level of destruction. The proposed cluster-based scheme can adapt to any real-time scenario by introducing the level-based cluster-head election scheme (LBCHE), which works concerning its assigned priority for reducing the delay incurred in MDMs dissemination. The simulation of the proposed protocol in the network simulator (NS) shows that the overhead and delay are reduced in MDMs dissemination. At the same time, the throughput, packet delivery ratio, and stability increased compared to the other competing protocols.
Unmanned military vehicles (UMVs) and autonomous robots became part of modern warfare strategy to perform military combat missions and dangerous war field operations. The military vehicles (MVs) need to communicate with each other to achieve several required military tasks collectively. It has been achieved by proposing an autonomous military vehicles routing (AMVR) protocol to develop a vehicular ad hoc network (VANET) among all military manned and unmanned vehicles to meet the challenges of modern warfare. AMVR protocol performs multicast communication among unmanned and manned military vehicles in combination to develop strong coordination among them. The proposed protocol performs the message dissemination among MVs in two tier structure i.e. T 1 and T 2 which reduces the network overhead by distributing it among the two tiers. The UMVs are grouped in to T 1 because these vehicles have the capability to arrange them at front autonomously with uniform distance by sharing speed and direction which avoids the occurrence of network fragmentation also. Hence, the UMVs maintain the stable radio links of VANET within dynamic environment of war field. The event detection messages (EDMs) are disseminated from unmanned vehicles to manned military vehicles (MMVs) of T 2 . The proposed protocol performs multicast communication to achieve high throughput and efficient dissemination of EDMs among all or specific group of military vehicles. The store and carry approach is adopted to inform incoming MVs about the current situation of war field. The simulation results illustrate that the proposed protocol has achieved the goal of EDMs dissemination among all UMVs and MMVs efficiently despite of dynamic battlefield environment.
