Mobile Ad Hoc Network Network Research Articles

Trust and Affinity Based Clustering for Deterministic Multicast Routing Using Honey Badger Algorithm

Wireless Ad hoc networks (WANETs) and mobile ad hoc networks (MANETs) are forms of wireless networks with no central controller. In contrast to traditional networks based on routers and access points, ad hoc networks do not rely on pre-existing infrastructure. Recently, multicast routing protocols in MANETs have effectively managed group communications. The multicast routing protocol can greatly increase the reliability of the MANET network. This protocol aims to minimize the energy consumption (EC) and network lifetime of the MANET to address these issues. This paper presents a novel Affinity based Clustering for Deterministic Multicast Routing (ACD-MR). The overall process is carried out in three stages: cluster head selection (CHs), trust management, and routing. In the initial phase, the cluster head (CH) is selected and utilizes affinity propagation based on node degree, distance, energy, and lifetime. In the second phase, the data are encrypted using the enhanced AES algorithm, and the trust value of each node is calculated employing direct and indirect trust. In the third phase, the Honey Badger algorithm is employed to select an optimal route. The proposed ACD-MR model’s performance is calculated utilizing various parameters, including the network lifetime, average end-to-end delay, EC, packet delivery ratio (PDR), and detection ratio. The proposed model increased the network lifetime by 17.24%, 19.45%, and 22.34% better than MLLR, CS-MAODV, and DQN, respectively.

Hybrid Clustering Approach (SG-MFOA) using Multipath Cross-Layer Design in MANET Network

Mobile Ad-hoc Networks (MANETs) are used in a wide range of applications because of their unique capabilities. The routing in MANET is regarded as a main challenge on account of its permanent movement and nodes' randomness that can cause a continual change of network topology, thus finding correct paths among the nodes is the fundamental task of routing protocols. There is a rise in protocols that depend on cross-layer communication across several layers to increase the MANET performance. In this manuscript, a Hybrid Clustering Approach (SG-MFOA) using a Multipath Cross-Layer Design in a MANET Network is proposed. Here, multiple routes are selected for data packet transmission with the help of hybrid routing. Furthermore, a cross-layer metric is acquired depending upon Expected Transmission Time (ETT), Residual Energy and Load Balancing Factor. It is necessary to select a Cluster Head (CH) depending on this trade for proficient routing. So, the cluster head is optimally chosen to utilize SG-MFOA. Thus, the multipath route selection is performed by the multi-objective functions containing bandwidth, congestion delay, transmission delay and to ensure the prolonging of network lifetime, queue delay at each connection Access Category from the available routes to a destination. When compared with the existing methods, like a proficient self-attention-based conditional variational auto-encoder generative adversarial networks-based multipath cross-layer design routing paradigm for MANET (SCVAGAN-MCDR-MANET), Energy Aware Cross Layer Routing Protocol to Increase Route Reliability in MANETs (EACLRP-RR-MANET), Cross-layer Adaptive Fuzzy-based Ad hoc On-Demand Distance Vector Routing Protocol for MANET (CLAF-DVRP-MANET), respectively.

Detection of Data imbalance in MANET network based on ADSY-AEAMBi-LSTM with DBO Feature selection

<p>A Mobile Ad Hoc Network (MANET) is a temporary wireless network formed by mobile nodes. These nodes cooperate to relay information in a multi-hop fashion, but some malicious nodes can disrupt the network by providing false routing information. Traditional firewalls and encryption methods can’t keep up with the increasing diversity of network threats. To address these issues, Intrusion Detection Systems (IDS) have been developed. In this paper, a new intrusion detection framework named ADSY-AEAMBi-LSTM is introduced. This acronym stands for a bidirectional Long Short-Term Memory (LSTM) model and an adaptive synthetic auto-encoder attention mechanism. The Dung Beetle Optimizer is used to identify optimal features after data preprocessing, followed by classification using ADSY-AEAMBi-LSTM. The study evaluates this model using three datasets: CIC-IDS 2017, UNSW-NB15, and WSN-DS.</p>

A Novel Cryptography-Based Multipath Routing Protocol for Wireless Communications

Communication in a heterogeneous, dynamic, low-power, and lossy network is dependable and seamless thanks to Mobile Ad-hoc Networks (MANETs). Low power and Lossy Networks (LLN) Routing Protocol (RPL) has been designed to make MANET routing more efficient. For different types of traffic, RPL routing can experience problems with packet transmission rates and latency. RPL is an optimal routing protocol for low power lossy networks (LLN) having the capacity to establish a path between resource constraints nodes by using standard objective functions: OF0 and MRHOF. The standard objective functions lead to a decrease in the network lifetime due to increasing the computations for establishing routing between nodes in the heterogeneous network (LLN) due to poor decision problems. Currently, conventional Mobile Ad-hoc Network (MANET) is subjected to different security issues. Weathering those storms would help if you struck a good speed-memory-storage equilibrium. This article presents a security algorithm for MANET networks that employ the Rapid Packet Loss (RPL) routing protocol. The constructed network uses optimization-based deep learning reinforcement learning for MANET route creation. An improved network security algorithm is applied after a route has been set up using (ClonQlearn). The suggested method relies on a lightweight encryption scheme that can be used for both encryption and decryption. The suggested security method uses Elliptic-curve cryptography (ClonQlearn+ECC) for a random key generation based on reinforcement learning (ClonQlearn). The simulation study showed that the proposed ClonQlearn+ECC method improved network performance over the status quo. Secure data transmission is demonstrated by the proposed ClonQlearn + ECC, which also improves network speed. The proposed ClonQlearn + ECC increased network efficiency by 8-10% in terms of packet delivery ratio, 7-13% in terms of throughput, 5-10% in terms of end-to-end delay, and 3-7% in terms of power usage variation.

OCI-OLSR: An Optimized Control Interval-Optimized Link State Routing-Based Efficient Routing Mechanism for Ad-Hoc Networks

MANET (Mobile Ad hoc Networks) functionality is determined by routing protocols’ ability to adjust to atypical changes in information and communication technologies, topological systems, and connection status. Due to interference, node migration, the growth of several pathways, security, and propagation loss, MANET network configurations are dynamic. The proactive routing protocol enhances the message flow utilized in the neighborhood discovery process by using the multipoint relays (MPR) approach. In order to increase the protocol’s effectiveness and efficiency while maintaining the OLSR protocol’s reliability, the research presented in this paper proposed an improved OCI-OLSR (Optimized Control Interval-Optimized Link State Routing) that focuses on better control interval management, an advanced MPR selection process, reducing neighbor hold time as well as decreasing flooding. The suggested proposed protocol was examined using the NS3 simulator, and it was compared to the standard OLSR version and AODV(Ad-hoc On-Demand Routing) routing protocol. According to the analysis’s findings, the suggested system has a lot of promise in terms of a variety of performance metrics under diverse conditions. Overall, the article makes the case that the OCI-OLSR protocol may enhance the performance of the regular OLSR protocol in wireless ad hoc networks by addressing a number of the protocol’s flaws.

Transmission of information in automated special purpose systems

This paper is devoted to solving the problem of optimizing the message transport service, which is one of the basic for automated special purpose systems. The NATO model of network-centric transformation of automated control and communication systems, which is presented in the form of a general plan for the development of information systems, was taken as the basis for the construction of special-purpose systems. An analysis of the development of information systems was carried out within the framework of the program of modernization and improvement of automated management systems. Under this program, large-scale work was carried out on the creation of new mobile nodes and means of communication for the perspective automated communication system at the tactical level Warfighter Information Network-Tactical. Therefore, it is proposed to use wireless, decentralized, mobile IP networks such as MANET (Mobile Ad hoc Network) for automated special purpose systems at the tactical level. Each of the mobile devices of such network can move independently in any direction, and, as a result, often break and establish connections with neighbors. For the MANET network the messaging service is considered in the context of: one automated workplace, one domain and interconnection between domains. The efficiency of information transmission systems is considered. Circular transmission algorithms for messages with the highest urgency category are defined and a control algorithm is provided for selecting the optimal message transmission channel in which the time spent on message transmission between these subscribers is minimal (dynamic programming problem with additive effect function). Bellman's functional equation for the conditional optimization stage was adapted for this problem.

EsECC_SDN: Attack Detection and Classification Model for MANET

Mobile Ad Hoc Networks (MANET) is the framework for social networking with a realistic framework. In the MANET environment, based on the query, information is transmitted between the sender and receiver. In the MANET network, the nodes within the communication range are involved in data transmission. Even the nodes that lie outside of the communication range are involved in the transmission of relay messages. However, due to the openness and frequent mobility of nodes, they are subjected to the vast range of security threats in MANET. Hence, it is necessary to develop an appropriate security mechanism for the data MANET environment for data transmission. This paper proposed a security framework for the MANET network signature escrow scheme. The proposed framework uses the centralised Software Defined Network (SDN) with an ECC cryptographic technique. The developed security framework is stated as Escrow Elliptical Curve Cryptography SDN (EsECC_SDN) for attack detection and classification. The developed EsECC-SDN was adopted in two stages for attack classification and detection: (1) to perform secure data transmission between nodes SDN performs encryption and decryption of the data; and (2) to detect and classifies the attack in the MANET hyper alert based Hidden Markov Model Transductive Deep Learning. Furthermore, the EsECC_SDN is involved in the assignment of labels in the transmitted data in the database (DB). The escrow handles these processes, and attacks are evaluated using the hyper alert. The labels are assigned based on the k-medoids attack clustering through label assignment through a transductive deep learning model. The proposed model uses the CICIDS dataset for attack detection and classification. The developed framework EsECC_SDN’s performance is compared to that of other classifiers such as AdaBoost, Regression, and Decision Tree. The performance of the proposed EsECC_SDN exhibits ∼3% improved performance compared with conventional techniques.

Generative Boltzmann Adversarial Network in Manet Attack Detection and QOS Enhancement with Latency

Mobile Ad-Hoc Network (MANET) are considered as self-configured network those does not have any centralized base station for the network monitoring and control. MANET environment does not control architecture for routing for the frequent maintenance of topology. The drastic development of Internet leads to adverse effect of development in MANET for different multimedia application those are sensitive to latency. Upon the effective maintenance of the QoS routing route discovery is performed to calculate queue and contention delay. However, the MANET requirement comprises of the complex procedure to withstand the Quality of Service (QoS) with Artificial Intelligence (AI). In MANET it is necessary to compute the MANET attacks with improved QoS with the reduced latency as existing model leads to higher routing and increased latency. In this paper proposed a Generative Boltzmann Networking Weighted Graph (GBNWG) model for the QoS improvement in MANET to reduce latency. With GBNWG model the MANET model network performance are computed with the weighted graph model. The developed weighted graph computes the routes in the MANET network for the estimation of the available path in the routing metrices. The proposed GBNWG model is comparatively estimated with the conventional QOD technique. Simulation analysis stated that GBNWG scheme exhibits the improved performance in the QoS parameters. The GBNWG scheme improves the PDR value by 12%, 41% reduced control packets and 45% improved throughput value.

Cluster Head Selection and Energy Efficient Multicast Routing Protocol-Based Optimal Route Selection for Mobile Ad Hoc Networks

Wireless networks with a large number of peer nodes are known as mobile ad hoc networks (MANETs). In MANETs, the mobility of nodes causes a number of challenges, including path preservation, battery life, safety, dependability, and unexpected connection characteristics. As a result, the network’s quality of service (QoS) would be compromised (QoS). For the discovery and maintenance of pathways in MANETs, the routing protocol is critical. By implementing the multicast routing protocol, the MANET network’s reliability may be improved significantly. Evaluation of multicast routing for quality of service (QoS) is the primary goal of this study. In multicasting, data packets from one node are transmitted to a set of receiver nodes at a time, simultaneously. Multicasting reduces transmission costs. Cluster head selection is one of the challenges in MANET. This proposed research paper optimal route selection (ORS) provides the cluster head selection and alternate cluster head selection for avoiding the failure of the cluster head, generation of the optimal path between the cluster head and member node based on reliability pair factor and node’s energy, and establishment of the path based on maximum energy and number of hops between the nodes (minimum number of hops). In comparison to existing methods, ORS is more effective in the energy-efficient path between base station and cluster head, and member node is provided by an ORS route. Results show that the proposed ORSMAN has higher throughput, minimum latency, minimum jitter, and maximum packet delivery ratio, when compared to the existing methodologies.

Performance and statistical analysis of ant colony route in mobile ad-hoc networks

<div class="WordSection1"><p>Research on mobile ad-hoc networks (MANETs) is increasing in popularity due to its rapid, budget-friendly, and easily altered implementation, and relevance to emergencies such as forest firefighting and health care provisioning. The main concerns that ad-hoc networks face is dynamic topology, energy usage, packet drop rate, and throughput. Routing protocol selection is a critical point to surmount alterations in topology and maintain quality in MANET networks. The effectiveness of any network can be vastly enhanced with a well-designed routing protocol. In recent decades, standard MANET protocols have not been able to keep pace with growing demands for MANET applications. The current study investigates and contrasts ant colony optimization (ACO) with various routing protocols. This paper compares ad-hoc on-demand multi-path distance vector (AOMDV), dynamic source routing protocol (DSR), ad-hoc on-demand distance vector routing (AODV), and AntHocNet protocols regarding the quality of service (QoS) and statistical analysis. The current research aims to study the behavior of the state-of-the-art MANET protocols with the ACO technique. The ACO technique is a hybrid technique, integrating a reactive route maintaining technique with a proactive method. The reason and motivation for including the ACO algorithm in the current study is to improve by using optimization algorithms proved in other domains. The ACO algorithm appears to have substantial use in large-scale MANET simulation.</p></div>

Design and development of anonymous location based routing for mobile ad-hoc network

Mobile ad-hoc network (MANET) consists of wireless nodes interacting with each other impulsively over the air. MANET network is dynamic in nature because of which there is high risk in security. In MANET keeping node and routing secure is main task. Many proposed methods have tried to clear this issue but unable to fully resolve. The proposed method has strong secure anonymous location based routing (S2ALBR) method for MANET using optimal partitioning and trust inference model. Here initially partitions of network is done into sectors by using optimal tug of war (OTW) algorithm and compute the trustiness of every node by parameters received signal strength, mobility, path loss and co-operation rate. The process of trust computation is optimized by the optimal decided trust inference (ODTI) model, which provides the trustiness of each node, highest trust owned node is done in each sector and intermediate nodes used for transmission. The proposed method is focusing towards optimization with respect to parameter such as energy, delay, network lifetime, and throughput also above parameter is compared with the existing methods like anonymous location-based efficient routing protocol (ALERT), anonymous location-aided routing in suspicious MANET (ALARM) and authenticated anonymous secure routing (AASR).

Design of Mobile ad-hoc network scheme based on SDN

With the expansion of application scale, the network structure and organization mode of traditional MANET are limited by factors such as bandwidth optimization, power control and node mobility. The stability of network performance and the use efficiency of upper layer applications are also seriously affected. In order to solve this problem, Mobile ad hoc network (MANET)scheme based on SDN is proposed to establish a flexible and programmable data forwarding mechanism in MANET. The dynamic deployment mechanism of network functions and the globally consistent cooperative control mechanism realize the global network performance optimization and efficient management control. Finally, the test shows that SDMENT improves the flexibility of MANET network and makes the software of MANET have the significance of engineering application.

An Escalated Performance Aware Approach for Cumulative Effectiveness in Mobile Ad-Hoc Networks

In order to provide secure communication between mobile nodes in a hostile environment, security has become a top priority. There are a variety of nontrivial difficulties to security design in mobile ad hoc networks because of its unique properties, such as open peer to peer network architecture and shared wireless medium. Building multi-layered security systems that provide broad coverage while still delivering optimal network performance makes perfect sense in light of these problems. Specifically, in this study, we address the basic issue of maintaining the multi-hop network connectivity between mobile nodes in a Mobile Ad Hoc Networks (MANET). There are a number of security concerns that need to be addressed in order to safeguard the multihop wireless channel's MANET connection and network layer activities when delivering packets. We go through these difficulties and possible solutions in this paper. Complete security solutions should cover both layers and include the prevention, detection and response aspects of the three components of the security system. Providing secure communication between mobile nodes in a hostile environment has become a top priority. For example, the open peer-to-peer architecture, shared wireless medium, resource limits, and high dynamic network topology of mobile ad hoc networks provide a variety of nontrivial security design difficulties. The work integrates the effectual approach with the integrity and performance aware implementation for the Mobile Adhoc Networks.

Analysis of routing and security issues in OLSR protocol for video streaming over MANET

Mobile ad-hoc networks (MANETs) are autonomous, self-organizing networks without infrastructure support. The nodes in MANET network are dynamic and these nodes create creates a topological map through exchange of routing information defined by some set of rules called routing protocols which are further classified as proactive, reactive and hybrid. OLSR is proactive type of protocol which is widely used in MANET. The basic principal of OLSR is based on selection of Multipoint Relays (MPR) through flooding mechanism. There have been many enhancements in OLSR routing protocol to improve routing and security issues. But there is still a very vital scope for enhancement in OLSR to overcome these issues. In this paper, we review the different enhancements in OLSR and attempt to find out different routing and security challenges that can be further enhanced in OLSR for video streaming over MANET

Novel Method of Improving Quality of Service for Voice over Internet Protocol Traffic in Mobile Ad Hoc Networks

In recent years, the application of Mobile Ad-hoc Network (MANET) with Voice over Internet Protocol (VoIP) has been increased. However, the level of Quality of Service (QoS) for VoIP traffic in MANET, while there is no infrastructure, will reduce when dealing with a large number of calls. In this type of dynamic environment, the developing of a new infrastructure becomes more costly and time-consuming. In this paper, we proposed an efficient method, called the Quality of Service-Nearest Neighbor (QoS-NN), to improve the QoS level for VoIP in order to manage the huge number of calls over MANET network. We utilized the Ad-hoc On-demand Distance Vector (AODV) protocol as the underlying routing protocol to implement our proposed method. We evaluated the proposed QoS-NN method using Network Simulator version 2 (NS2). The performance of the proposed QoS-NN method was compared with Lexicographic order method. The comparison was evaluated in terms of R-factor, end-to-end delay, packet loss ratio, and packet delivery ratio performance metrics. In addition, the proposed method evaluated under different network parameters such as VoIP CODECs, node mobility speed, number of calls and number of nodes. The comparison results indicate that the proposed QoS-NN outperform the Lexicographic order method.

Multipath routing protocol based on backward routing with optimal fuzzy logic in medical telemetry systems for physiological data measurements

<p class="Abstract">Mobile ad hoc network (MANET) performance is critically affected by the mobility and resource constraints of nodes. Node mobility will impact on connecting stability, and node resource limitations will result in congestion, so the development of a routing protocol that promotes quality of service (QoS) in MANET is quite difficult. In particular, frequent interrupting connection may degrade QoS performance in the high-speed node drive scenario, so it is required to build the MANET protocol routing which can be adapted for changes in the networking architecture to support QoS. Moreover, MANET's multipath routing is the most necessary for secure transmission that can be achieved if self-centered nodes in the MANET network are ignored. Secure routing guarantees the reliability of data, confidentiality, authorization and authentication and non-denial. A novel safe multi-way method for dependable data transfer, which depends on the quality of service, is offered in this study. The Ad Hoc on Demand Backward Routing protocol with Optimal Fuzzy Logic (OFL) is also designed to provide multi-path routing. The hybridization of the bat optimization approach provides the optimum route by generating rules in OFL, and hence chooses an optimal rule. The efficiency of the planned technique is evaluated for factors such as final delay, the packet delivery ratio and so on. When the node is 150, the proposed hybrid bat algorithm achieved 0.61 of average packet latency, where the existing technique Particle Swarm Optimization achieved nearly 1.2 to 1.3 packet latency. In this communication network, measurement of packet delivery ratio is an important task for establishing the communication network. The results show that our suggested work has more energy efficiency and network lifetime than existing ones.</p>

Performance Analysis of Public Safety Cognitive Radio MANET for Diversified Traffic.

This paper presents properties of a mobile ad hoc network (MANET) with dynamic spectrum management (DSM) and is devoted to the concept and implementation of the new traffic engine that is used in a High-Fidelity simulator of MANET with cognitive nodes for special applications. The communication traffic generated by each node is defined according to its role in the hierarchical structure of the operational scenario, determining its priorities, permission to use particular real time and non-real time services. The service usage is a source based model, defined in the user’s profile containing its statistical properties, describing periodicity, duration and randomness of traffic generation. The overall traffic generated by the node is a combination of traffics related to specific services. Their statistical parameters are based on real exercises results. The model was defined in the Matlab environment and next verified using the MAENA simulator for complex, operational scenarios. The achieved results show that use of both central and distributed DSM provides a better performance of the MANET network with complex traffic.

An Effective Heuristics Approach for Performance Enhancement of MANET

Mobile Ad-hoc Networks (MANET) are widely adopted in almost all research fields due to their significant advantages like minimal energy consumption and compact size. In MANET major challenges are optimal coverage, a lifetime of nodes, and throughput. This paper proposed a hybrid ant colony-flower pollination (HAC - FP) algorithm for throughput maximization and minimal energy consumption in a sensor network. To enhance the performance of the MANET network this research adopts the meta-heuristic technique. The meta-heuristic approach utilized for the MANET network is the ant colony and flower pollination algorithm. The planned HAC-FP makes use of neighborhood distance to determine the best position for each node. With hypersphere localization, the Levy struggle in flower pollination is used for optimal energy location. The placement of sensor nodes is identified in the first step using a hypersphere. Sensor network node energy consumption is lowered based on neighborhood distance. The results showed that the suggested HAC-FP algorithm, rather than existing methodologies, enhances the MANET network's coverage area. Further proposed HAC-FP algorithm minimizes the energy consumption level of the MANET than the conventional genetic approach.

A Survey of QoS-aware Routing Protocols for the MANET-WSN Convergence Scenarios in IoT Networks

Wireless Sensor Network (WSN) and Mobile Ad hoc Network (MANET) have attracted a special attention because they can serve as communication means in many areas such as healthcare, military, smart traffic and smart cities. Nowadays, as all devices can be connected to a network forming the Internet of Things (IoT), the integration of WSN, MANET and other networks into IoT is indispensable. We investigate the convergence of WSN and MANET in IoT and consider a fundamental problem, that is, how a converged (WSN-MANET) network provides quality of service (QoS) guarantees to rich multimedia applications. This is very important because the network performances of WSN and MANET are quite low, while multimedia applications always require quality of services at certain levels. In this work, we survey the QoS-guaranteed routing protocols for WSN-MANETs, that are proposed in IEEE Xplore Digital Library over the last decade. Then, basing on our findings, we suggest future open research directions.

DATA TRANSMISSION METHOD BASED ON MULTIPLEXING AND TAKING INTO ACCOUNT CHANGE OF NODES RATIO IN MANET NETWORKS

Background. The task of building a network with a continuous mode of data transmission for mobile nodes is to build a wireless network and maintain a state of loss of the minimum number of packets during the exchange of information. One of the main problems of MANET (Mobile Ad hoc Networks) network management is their dynamics and the fact that mobile devices are limited in their computing capabilities. There is a problem of traffic routing within MANET networks and the internal hierarchy of transmitters involved in the system. These networks also have problems with bandwidth optimization and power management. Lack of fixed topology introduces new scientific problems, such as network configuration, device search and topology support, as well as special addressing and self-destruction of the network. This task is relevant for data transmission between mobile devices in terms of reconnaissance operations. Objective. The goal of the article is the research of reducing packet delays in nodes during dynamic routing, reducing service traffic and software optimization of data transmission in MANET relative to existing methods. Methods. To achieve this goal, we use computer simulation, statistical and empirical methods. Based on the optimization of dynamic routing using the Ad hoc On-Demand Distance Vector algorithm, four main indicators are identified: speed of path establishment, message delay in one node, occurrence of loops, the amount of service traffic. To test the proposed method, a graph of twelve vertices simulating a wireless peer-to-peer MANET network is simulated. Testing is performed in more than a hundred iterations. At each iteration, the vertices of the network graph are randomly selected and the data transfer between each vertex of the graph is modeled. Results. The use of the created software provides the analysis of the indicators of the quality of continuous data transmission and network routing by the proposed method. The proposed method shows reducing the amount of office traffic by 15 % and the best results by 5–10 % reduction of delay time within the node and when processing messages. Conclusions. A method is proposed to reduce the delay time within a node that changes its position when processing a message, to reduce the amount of service traffic when transmitting data between nodes in the MANET network. Computer simulation is used to study the proposed method.