3D MANETs: Link Probability, Node Degree, Network Coverage and applications

Aeronautical ad hoc network (AANET) has been considered a promising candidate to complete the vision of “Internet in the sky” by supporting high-speed broadband connections on airplanes for 6G networks. However, the specific characteristics of AANET restrict the applicability of conventional topology and routing management algorithms. Here, these conventional methodologies reduce the packet delivery success of AANET with higher transfer delay. At that point, the artificial intelligence (AI)-driven solutions have been adapted to AANET to provide intelligent frameworks and architectures to cope with the high complexity. The AI-driven AANET can provide intelligent topology formation, sustainability, and routing management decisions in an automated fashion by considering its specific characteristics during the learning operations. More clearly, AI-driven AANETs support intelligent management architectures, overcoming conventional methodologies’ drawbacks. Although AI-based management approaches are widely used in terrestrial networks, there is a lack of a comprehensive study that supports AI-driven solutions for AANETs. To this end, this article explores the possible utilization of primary AI methodologies on the road to AI-driven AANET. Specifically, the article addresses unsupervised, supervised, and reinforcement learning as primary AI methodologies to enable intelligent AANET topology formation, sustainability, and routing management. Here, we identify the challenges and opportunities of these primary AI methodologies during the execution of AANET management. Furthermore, we discuss the critical issue of security in AANET before providing open issues.

It is our great pleasure to welcome you to the 3rd ACM Workshop on Security of Ad Hoc and Sensor Networks (SASN'05), held in conjunction with the 12th ACM Conference on Computer and Communications Security (CCS'05), November 7, 2005, in Alexandria, Virginia.This year we received a total of 39 submissions on various aspects of ad-hoc and sensor network security. The program committee selected 6 as regular papers that cover a variety of topics, including trust establishment in Mobile Ad-Hoc Networks (MANETs), security of vehicular ad-hoc networks, secure group communication, key pre-distribution for sensor networks, jamming attacks against sensor network MAC protocols, and defense against Denial-of-Service (DoS) attacks. This year we continue the tradition of SASN'03 and SASN'04 to encourage the presentation and discussion of work-in-progress on ad-hoc and sensor network security. Among the 39 submissions, the program committee selected 7 papers to present in work-in-progress sessions, covering topics on anonymous routing for MANETs, key distribution for inter-group multicast in ad-hoc networks, improved topology assumptions for threshold cryptography in MANETs, RFID security, tracing in mobile wireless sensor networks, time synchronization attacks in sensor networks, and coordinated deployment for improving secure communications and sensing coverage in wireless sensor networks. In addition, the program includes a panel on Advances in Sensor and Ad-hoc Network Security and an invited keynote talk by Radha Poovandran (University of Washington) on Information Assurance in MANETs and Wireless Sensor Networks. We hope that these proceedings will serve as a valuable reference for security researchers and developers.

An ad-hoc Wireless Local Area Network (WLAN) is a network without infrastructure connectivity where different types of hosts (nodes) exist; such as PDAs (personal digital assistants), laptops and cellular phones. These nodes are equipped with short range transmitters and receivers, and antennas which may be Omni directional (broadcast), highly directional (Point-to-point), or a combination of the two. A Mobile Ad hoc Network (MANET) is a collection of mobile hosts that move in different directions and speeds without the need to maintain connectivity with existing network infrastructure. Different routing protocols have been designed since the existence of ad hoc networks. This work presented below proposes a new routing protocol for ad hoc networks which aims to reduce network overhead, power consumption, Multi-user Interference (MUI), and provide link reliability. In recent years, a vast research has been seen going on in the field of Mobile Ad Hoc Networks (MANETs). Due to limited resources in MANETs, to design an efficient and reliable routing strategy is still a challenge. An intelligent routing strategy is required to efficiently use the limited resources. Also the algorithms designed for traditional wired networks such as link-state or distance vector, does not scale well in wireless environment

The (MANET) ad-hoc mobile network is an automated, network in which android systems link to wireless devices. Ad hoc word means "for this purpose". In MANET any device can easily move in various directions. MANETs (Mobile Ad Hoc Networks) are the basics of broadband networks. In MANET network user can link and get connected anywhere, anytime through communication. MANET introduces a new co system for communication. MANET does not require a fixed structure relies on unconnected ports for service transportation delivery. The temporary hoc network is not dependent on mobile devices (android phones, laptop, PCs, sensors, etc.) that connect exclusively to wireless connectors. Ad-hoc work on a distributed system to provide the required network performance when there is no fixed structure. In this network, it acts as a standalone network or with many attachment points on mobile networks. This paper provides view on the features, applications of ad hoc networks, characteristics and various attacks and challenges faced by programmers and Users . We analyze MANET security objectives and will outline the features, structure, types and challenges of research and the latest trend analysis presented on Mobile Ad Hoc Network to explore open-ended issues in developing navigation strategies for MANET.

Power control algorithms for mobile ad hoc networks

Mobile Ad hoc Networks (MANET) comprises of self-organizing autonomous mobile nodes. MANETs are open and decentralized. Therefore they are vulnerable to malicious entities. MANETs are multi-hop wireless network where all nodes supportively maintain network connectivity without a centralized infrastructure. Since MANETs are infrastructure less and independent, the secure communication is the main issue. Therefore they are vulnerable to malicious entities. Here the location identity and traffic can be traced out by an outside observer. Anonymity means secure communications by hiding node identities and preventing traffic analysis attacks by outside observers. This paper proposes Position based Anonymous Routing Scheme in MANETs (PARS).Here the routing is based on Greedy Perimeter Stateless Routing Protocol. The objective is an anonymous routing protocol for the network. The proposed one is a zone based anonymous GPSR based protocol that can provide source, destination and route anonymity. Performance of the proposed system is compared with that of GPSR and AODV using Network Simulator. Index Terms: Anonymous routing, position-based routing, random forwarder, zone partition. I. Introduction Mobile Ad hoc Networks are collection of independent mobile nodes that can communicate by radio waves. It is an infrastructure less self-organizing network. The nodes that are in radio range can communicate by single hop or by multi hop with the help of intermediate nodes. The network is open and decentralized and fully distributed. So they are perfect choice for communication and information sharing. MANETs are susceptible to malicious entities that aim to alter and analyzed the traffic analysis by communication eaves dropping or attacking routing protocols. MANETs are characterized by their distributed operation, multi hop routing, dynamic topology and shared physical medium. Nodes in a MANET are independently free to move in any direction. Due to the lack of a centralized coordinator security is the major concern here. Wireless communication can endure interferences or malicious interceptions; whereas multi-hop communication assumes that each node will perform properly its functions to support network services. Further, self-organization increases the complexity of security management operations as access control, node authentication, secure routing and cryptographic key distribution. There is no fixed infrastructure and the topology is frequently changing due to node mobility or environmental changes. Therefore, it is very hard to maintain a stable and efficient end-to-end route in an ad-hoc network. Each node in MANET is energy constrained. There is verylimited physical security in MANET. The type of attacks can be Active attacks or Passive attacks. The common security issues are Passive attacks which include eaves dropping and information disclosure. Active attacks include Do Sand Data modification. There are other more specific problems with mobile ad hoc network such as vulnerability of channels and nodes, Byzantine black hole and Byzantine wormhole attack. The security issue also includes attacks that may inject erroneous routing information and diverting network traffic thus making routing inefficient. There are many methods to reduce the impact of these attacks, which include a secure routing using public and private key s to get a certification authority and use of digital signatures and prior it rust relationships. Routing is the process of communication from one node to the other host in a network. Routing is the process off or warding packet towards its destination using most efficient path. Routing efficiency is measured in terms of Number of hops, traffic, security, etc. Routing protocols in MANETs are divided as reactive proactive and hybrid. Reactive Protocol maintains the routes in on demand manner. In route discovery phase it floods the route request (RREQ) packets throughout the network. Dynamic source Routing (DSR), ad hoc on- demand distance vector routing (AODV) are some of the examples of reactive protocols. In proactive approach every node in the MANET continuously maintains the complete routing information of the entire network. This is accomplished by flooding network periodically with network status information. Global State Routing (GSR), Hierarchical State Routing (HSR) and Destination Sequenced Distance Vector Routing (DSDV) are some of the examples of proactive

The aircrafts were top of the places that disrupted the seamless connectivity requirement of 5G and beyond. The Aeronautical Ad-hoc Networks (AANETs) take the attention of both industry and academia to satisfy this connectivity requirement with the low cost, easy deployment, and continuous coverage features. On the other hand, the ultra-dynamic characteristics of AANET with unstructured topology make its environment hard-to-follow. Here, Artificial Intelligence (AI)-based methodologies have an essential role in handling the management complexity of this hard-to-follow environment. However, these methodologies increase the computational complexity of aircraft due to the continuous update, convergence time, and scalability issues. At that point, we propose the utilization of the Digital Twin (DT) technology to handle the management complexity of AANET while solving the main issues of AI-based methodologies on it. The DT can virtually replicate the physical AANET components through closed-loop feedback in real-time. Therefore, this work introduces the utilization of DT technology for the AANET orchestration and, accordingly, proposes a DT-enabled AANET (DT-AANET) topology management framework. This framework consists of the Physical AANET Twin and Controller, including Digital AANET Twin with Operational Module. Here, the Digital AANET Twin virtually represents the physical environment while the operational module executes the AI-based computations on them through unsupervised learning-based training or supervised learning-based prediction. Finally, we present a case study based on Learning Vector Quantization (LVQ) to show the usability of the proposed framework and support this through evaluation results.

Mobile Ad hoc Network (MANET) basically, is a collection of mobile hosts incorporating wireless interfaces that forms a transitory autonomous network. They do not base on fixed infrastructure or central administration, rather work on the principle of self-organized interconnections among mobile nodes. Fundamentally, in MANET when nodes come inside the transmission range of neighboring nodes', they can be detected by each other and can communicate directly. However for communication outside this range they have to depend on some other nodes to relay the messages .This is where routing protocols have to play a very important role. Literature for improving the performance of routing protocol is available in abundance. Among these comes, the hierarchical/cluster-based routing protocols that claim to reduce control overheads. Clustering in Mobile Ad hoc Networks (MANETs) has proved to be advantageous compared to the traditional networks. However the highly dynamic and unstable nature of MANETs makes it intricate for the cluster based routing protocols to split a mobile network into clusters and determination of cluster heads for each cluster. Although much previous research has concentrated on cluster-head selection in MANETs, not much effort has been done on the security side of cluster-head selection. This paper emphasize that secure cluster head selection in MANETs has an intense effect on network performance. Specifically, we stress that in ad hoc network where all the participants are self controlled, security is an essential aspect and the effective cluster-head selection can improve network throughput. We propose a secure and effective cluster-head Selection scheme using a cross-layer approach that integrates cluster-head discovery and selection functionality with network ad hoc routing mechanisms and the lower layer drivers built-in the system. Besides, proposed scheme handle the disconnections in ad hoc network due to the effects of topology changes and battery depletion. This scheme allows clients to switch to better cluster-head nodes as network topology changes. Hence, provides better performance to network.

Infrastructure and ad hoc network architectures are the two major architectures that can use wireless networks. Unlike infrastructure architecture using the centralized base station, mobile ad hoc network (MANET) is an infrastructure-less architecture which can be connected without any centralized control. In MANET, a mobile device can be connected with another device within the appropriate radio range that is typically 30 MHz to 5 GHz. Therefore, MANET is considered as a self-organizing network where each node acts as a participant and a router. Sector-based routing is a method in MANET which can be used to separate the positions of every node in a network topology. In addition, a specific node called server node can be assigned among the nodes in each sector. The server node is responsible to reserve the path resources and to maintain the information for its associated nodes and links. The performance of sector-based routing depends on the number of nodes available in the sector. Further, the routing approach in sector-based MANET can be considered in various scenarios using server nodes. Our research in this paper is to evaluate the efficiency of the sector-based routing in MANET considering several scenarios. Further, we address the variation of the performance while the number of nodes changes with several routing methods in sector-based MANET. In this paper, we investigate the detailed simulation experiments on a different number of nodes and various scenarios of sector-based routing in MANET. Our findings are as follows. (1) The average collision rate is significantly lower in sector-based routing when compared to MANET. (2) The resource efficiency in sector-based routing is considerably higher. (3) Unlike in a small number of nodes, the higher number of connections can be allowed in a high number of nodes distributed in a sector.KeywordsMANETSector-based routingServer nodeResource efficiency

Recently, there has been a clear trend towards the application of ad hoc networking technology in civil aviation communication systems, giving birth to a new research field, namely, aeronautical ad hoc networks (AANETs). An AANET is a special type of ad hoc wireless network with a significantly larger scale and distinct characteristics of its mobile nodes. Thus, there is an urgent need to develop a simulator to facilitate the research in these networks. In this paper, we present a network simulator, Aero-Sim, for AANETs. Aero-Sim, which is based on the freely distributed NS-2 simulator, enables detailed packet-level simulations of protocols at the MAC, link, network, transport, and application layers by composing simulations with existing modules and protocols in NS-2. Moreover, Aero-Sim supports three-dimensional network deployment. Through several case studies using realistic China domestic air traffic, we show that the proposed simulator can be used to simulate AANETs and can reproduce the real world with high fidelity.

In the field of military communication, there is urgent need for mobile ad-hoc network technology (MANET). Unmanned aerial vehicles (UAVs) as the network nodes have been applied to military scene, which is very important in research of sensor network. This technology has become a crucial part of real-time strategic command system. The purpose of this paper is to establish a model of mobile ad-hoc network using UAVs. And this UAVs network can be also called a special military mobile ad-hoc network, based on which, this paper adopted feasible performance metrics modeling method of route optimization problem. Then the above route programming theory developed into running visible software by Visual C++. Genetic Algorithm (GA) is the core of this new software. Finally, the running result verified this route planning's solution is effective in scene of battlefield by this new visible software.

Cognition capability has been seen by researchers as the way forward for the design of next generation of Mobile Ad Hoc Networks (MANETs). The reason why a cognitive paradigm would be more suited to a MANET is because MANETs are highly dynamic networks. The topology may change very frequently during the operation of a MANET. Traffic patterns in MANETs can vary from time to time depending on the need of the users. The size of a MANET and node density is also very dynamic and may change without any predictable pattern. In a MANET environment, most of these parameters may change very rapidly and keeping track of them manually would be very difficult. Previous studies have shown that the performance of a certain routing approach in MANETs is dependent on the size of the network and node density. The choice of whether to use a reactive or proactive routing approach comes down to the network size parameter. Static or offline approaches to fine tune a MANET to achieve certain performance goals is hence not very productive as a lot of these parameters keep changing during the course of operation of MANETs. Similarly, the performance of MANETs would improve greatly if the MAC layer entity could operate in a more flexible manner. In this paper we propose a cognitive MANET design that will ensure that all these dynamic parameters are automatically monitored and decisions are based on the current status of these parameters.

Data communications are currently considered as a key enabler in the modernization of the aviation industry. Current aircraft are becoming equipped with advanced data communication capabilities, whereas the aviation stakeholders are seeking for new communication solutions to face the increasing air traffic load. Thus, we can expect to see large scale aeronautical ad hoc networks which could be used to meet those needs in the near future. This paper discusses the security issues to be addressed in routing protocols defined in the scope of aeronautical ad hoc networks. Existing routing approaches are briefly discussed, then a secure geographical routing protocol for future aircraft ad hoc networks is proposed. Finally the protocol is formally verified and its performances are discussed.

Fuzzy logic based cross-layer design to improve Quality of Service in Mobile ad-hoc networks for Next-gen Cyber Physical System

There have been many studies in recent years reporting the performance and survivability of mobile ad-hoc networks (MANETs). These studies invariably consider the network as covering a relatively small geographic area. However, in many crises, such as may occur during disaster relief and military operations, a wide geographic area may require network coverage. In these circumstances, the infrastructure free mobile wireless communications features of MANETs may be critical in forming a satisfactory network. Given transmission range limitations within current MANET proposals, it is likely that providing network coverage to a wide geographic area would be problematic. This paper presents the results of a study on clustering in the spatial distribution of communication nodes. A realistic environment (e.g. topography and organisational limitations) and operating procedures are introduced through the use of the results of war games. The spatial distribution of nodes is used as the basis for MANET internetwork topology generation.