Handbook of Intelligent Computing and Optimization for Sustainable Development. Группа авторов

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Handbook of Intelligent Computing and Optimization for Sustainable Development - Группа авторов

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communications.

       • Air-to-ground wireless communications.

      6.2.8.3.1 Air-to-Air Wireless Communication

      There is limitation for communication between UAVs and ground station. For ease, we should use air to air communication for data transmission from source to destination.

      6.2.8.3.2 Air to Ground Wireless Communication

      For air to ground communication, we have to establish a new infrastructure to communicate to ground stations. FANETs are different from MANETs and VANETs, and we need high range due to wide distance between the nodes

      1 1. Multi-UAV cooperationTo perform a task with the FANETs, we need a large number of UAV. More UAV more chances of accurate detection, targeting, monitoring, and tracking and in emergency situation

      2 2. UAV-to-ground tasksIn this, we involve human operator to help UAV to take right decision in the task.

      3 3. UAV-to-VANET collaborationsRecently there is an optimization in FANET network, by using this technique we can make connection from air to the vehicles and we can use this for route guidance, monitoring, and traffic monitoring. Table 6.2 shows comprehensive comparison of different adhoc networks.

Criteria FANET VANET MANET
Node mobility High Medium Low
Mobility model Pre-determined Steady Arbitrary
Node density Low Medium Low
Topology change Rapid Average Slow
Radio propagation model High above the ground Close to the ground Very close to the ground
Computational power Big Average Low
Localization GPS, IMU AGPS, GPS GPS

       6.2.9.1 Packet Loss

      In MANETs, packet loss is important factor of quality of service of MANETs. To calculate it, first, we have to calculate factors that cause packet loss. Main factors are link and transmission loss.

       6.2.9.2 Bandwidth

      Bandwidth is range of the data packet delivered within the frequency. To calculate the bandwidth, there is hello, listen, and proactive and reactive scheme. For MANETs, bandwidth is of HUNDRED KPS. For VANETs, bandwidth is THOUSAND KPS.

       6.2.9.3 Data Rate

      Data packet rate for MANETs are 11 Mbps. Data packet rate for VANETs are 27 Mbps.

       6.2.9.4 Frequency

      In MANETs, frequency we use to deliver the data from one node to other is from 30MHz to 50 GH. For VANETs, we use the frequency for transmission purpose is 75 MHz from 5.85 GHz to 5.926 GHZ.

       6.2.9.5 Packet Delivery Ratio (PDR)

       6.2.9.6 Bit Noise Ratio

      Bit noise ratio defined as the portion of data delivered to the ratio of data sent. It is high for MANETs, medium for VANETs, and low for FANETs.

      Crowd Associated Networks (CrANs) is the network in which we utilize the crowd to complete communication gap between the associates. CrANs is the abbreviation of “crowd associate network”. It consists of five main components which are dedicated agents, non-dedicated agents, control center sink, data storage, and garbage collector. For specific task, dedicated agents are installed into the network. These nodes are static in nature and transfer the information with the same sort of agents. Intermediate nodes are the nodes between source and destination are called crowd nodes. Communication gap is covered by crowd nodes. The nodes send the data from the one to the multiple nodes and copy of the information to the same node. It collects the data from one of the active node and sends the duplicate data packets to the other active nodes present in the zone.

      We live in a third world country, and here, due to many reason, we lose the network. In that case, we need a network which can work in that condition. That is the CrANs network is proposed for emergencies and other situations when networks are not functional. It utilizes all other networks to transfer information. For communication, we will combine the CrANs with the MANETs, WANETs, FANETs, and Wi-Fi to transfer the data from one area to other. We will use the presence networks to make a crowd of detective and non-detective nodes for the transfer of data. The non-detective nodes of CrANs connect to the detective nodes of other networks.

      6.3.1 Structure of CrANs

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