Mobile ad hoc networks (MANETs) possess numerous and unique characteristics, such as high channel error-rate, severe link-layer contentions, frequent link breakage (due to node mobility), and dissimilar path properties (e.g., bandwidth, delay, and loss rate) that make these networks different from the traditional ones. These characteristics seriously interfere with communication and hence, ultimately degrade the overall performance in terms of end-to-end delay, packet delivery ratio, network throughput, and network overhead. The traditional referenced layered strict architecture is not capable of dealing with MANET characteristics. Along with this, the most important apprehension in the intent of MANETs is the battery-power consumption, which relies on non-renewable sources of energy. Even though improvements in battery design have not yet reached that great a level, the majority of the routing protocols have not emphasized energy consumption at all. Such a challenging aspect has gained remarkable attention from the researchers, which inspired us to accomplish an extensive literature survey on power-aware optimization approaches in MANETs. This survey comprehensively covers power-aware state-of-the-art schemes for each suggested group, major findings, crucial structures, advantages, and design challenges. In this survey, we assess the suggested power-aware policies in the past in every aspect so that, in the future, other researchers can find new potential research directions.

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Survey on Power-Aware Optimization Solutions for MANETs

Mobile Ad-hoc Networks (MANETs) are independent systems that can work without the requirement for unified controls, pre-setup to the paths/routes or advance communication structures. The nodes/hubs of a MANET are independently controlled, which permit them to behave unreservedly in a randomized way inside the MANET. The hubs can leave their MANET and join different MANETs whenever the need arises. These attributes, in any case, may contrarily influence the performance of the routing conventions (or protocols) and the general topology of the systems. Along these lines, MANETs include uniquely planned routing conventions that responsively as well as proactively carry out the routing. This paper assesses and looks at the effectiveness (or performance) of five directing conventions which are AOMDV, DSDV, AODV, DSR and OLSR in a MANET domain. The research incorporates executing a simulating environment to look at the operation of the routing conventions dependent on the variable number of hubs. Three evaluation indices are utilized: Throughput (TH), Packet Delivery Ratio (PDR), and End-to-End delay (E2E). The assessment outcomes indicate that the AODV beats other conventions in the majority of the simulated scenarios.

https://www.beei.org/index.php/EEI/article/download/2516/1777

Analyzing the impact of the number of nodes on the performance of the routing protocols in MANET environment

Mobile Ad hoc Network is self-organized and movable in nature, it is widely used in various applications including military and private sectors. However, security is one of the key concerns in routing because of the moving nodes; thus it is usually affected by Black Hole and Grey Hole attack. These types of malicious activities are more harmful to the network channel, and once the attack is happened it is difficult to predict and mitigate. To end this problem the current research proposed a novel Grey Wolf Trust Accumulation (GWTA) Schema in wireless mesh network architecture, thus the attacks are identified by the finest function of the GWTA model. Moreover, the predicted attacked nodes are replaced to the last position of the network medium to prevent the packet loss. Furthermore, the comparison studies proved the effectiveness of the proposed model by attaining less packet drop and high throughput ratio rate.

A Novel Wolf Based Trust Accumulation Approach for Preventing the Malicious Activities in Mobile Ad Hoc Network

PurposeThe mischievous nodes that defy the standard corrupt the exhibition of good nodes considerably. Therefore, an intrusion discovery mechanism should be included to the mobile ad-hoc network (MANET). In this paper, worm-hole and other destructive malignant attacks are propelled in MANET.Design/methodology/approachA wireless ad-hoc network also called as mobile ad-hoc network (MANET) is a gathering of hubs that utilizes a wireless channel to exchange information and coordinate together to establish information exchange among any pair of hubs, without any centralized structure. The security issue is a major difficulty while employing MANETs.FindingsConsequently, the attacks due to the malicious node activity are detected using Hybrid Reactive Search and Bat (HRSB) mechanism to prevent the mischievous nodes from entering the network beneath the untruthful information. Moreover, the attack detection rate and node energy are predicted for determining the lifetime of the node.Originality/valueThe simulation outcomes of the proposed HRSB technique are evaluated with the prevailing methods. The comparison studies have proven the efficacy of the current research model by attaining high attack detection rate and achieving more network lifetime.

Intrusion detection in mobile ad-hoc network using Hybrid Reactive Search and Bat algorithm

Mobility is one of the important issues in Mobile Ad hoc Networks (MANET). By definition, MANET nodes are free to move around and this may cause difficulty in routing. MANET routing protocols must consider this factor when making routing decision. Zone Routing Protocol (ZRP) is a hybrid routing protocol, which utilizes the proactive and reactive routing protocols advantages. ZRP proactively maintains routing information within a routing zone, while reactively discovering routes to destinations beyond the routing zone. Since ZRP is based on the concept of routing zone, determining an optimum routing zone radius has the major impact on the performance of that protocol. In this research, we studied the effect of zone radius on the performance of ZRP with different levels of node mobility. Node mobility is defined using two different parameters: node speed and pause time. Based on the simulation results, ZRP protocol using zone radius of two provides the best packet delivery fraction, throughput and normalized routing load. However, a larger zone radius will provide a lower delay.

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Determining an optimum zone radius for zone routing protocol (ZRP) based on node mobility

Improved routing in MANET with optimized multi path routing fine tuned with hybrid modeling

Sleep is completely regarded as obligatory component for an individual’s prosperity and is an extremely important element for the overall mental and physical well-being of an individual. It is a condition in which physical and mental health of an individual are in condition of halt. The conception of sleep is considered extremely peculiar and is a topic of discussion and it has attracted the researchers all over the world. Proper analysis of sleep scoring system and its different stages gives clinical information when diagnosing on patients having sleep disorders. Since, manual sleep stage classification is a hectic process as it takes sufficient time for sleep experts to perform data analysis. Besides, mistakes and irregularities in between classification of same data can be recurrent. Therefore, there is a great use of automatic scoring system to support reliable classification. The proposed work provides an insight to use the automatic scheme which is based on real time EMG signals. EMG is an electro neurological diagnostic tool which evaluates and records the electrical activity generated by muscle cells. The sleep scoring analysis can be applied by recording Electroencephalogram (EEG), Electromyogram (EMG), and Electrooculogram (EOG) based on epoch which is defined as a period of 30 second length segments, and this method of sleep scoring system is also called polysomnography test or PSG test. The standard database of EMG signals was collected from different hospitals in sleep laboratory which gives the different stages of sleep. These are Waking, NonREM1 (stage-1), Non-REM2 (stage-2), Non-REM3 (stage-3), REM. The main motive of the proposed work is the synchronization of EEG, EMG, EOG in order to understand different stages of sleep when they are simultaneously recorded. The procedure can be useful in clinics, particularly for scientists in studying the wakefulness and sleep stage correlation and thus helps in diagnosing some sleep disorders.

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Automatic Sleep Scoring Stages using Real-Time EMG Signals

Sleep analysis and its categories in sleep scoring system is considered to be helpful in an area of sleep research and sleep medicine. The scheduled study employs novel approach for computer assisted automated sleep scoring system using physiological signals and Artificial neural network. The data collected were recorded for seven hour, 30 second epoch for each subject. The data procured from the physiological signal was controlled and prepared to expel degenerated signals in order to extract essential data or features used for the study. As, it is known human body distributes its own electrical signals which is needed to be eliminated and these are known as artifacts and they are needed to be filtered out. In this study, signal filtering is achieved by using Butterworth Low-Pass filter. The features extracted were trained and classified using an Artificial Neural Network classifier. Even though, it is a highly complicated concept, using same in biomedical field when engaged with electrical signals which is obtained from body is novel. The accuracy estimated for the system was found to be good and thus the procedure can be very helpful in clinics, particularly useful for neurologist for diagnosing the sleep disorders.

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A Novel Approach for Computer Assisted Sleep Scoring Mechanism using ANN

Image is two dimensional representation of object like person, plant or thing. Image processing is a technique or method to enhance the quality of image. During transmission of image due to noise and other factors like interference etc some packets of data may be lost. To recover this loss many methods were proposed image error concealment is one of them, in this method packets lost are recovered from the received packets at receiver by using image processing techniques. In the proposed method a copy of the image is hidden as a embedded information in the Least Significant bit and low pass wavelet coefficient of the image before transmission and this embedded information is used to recover lost packets at the receiver. Compare to the existing methods peak signal to noise value of proposed method is high.

Image Error Concealment Method by Hiding a Copy of the Same Image in it in Spatial and Wavelet Domain before Transmission

Sleep is an essential element for an individual’s well-being and is considered vital for the overall mental and physical heath of a person. Sleep can be considered as a virtual detachment of an individual from his environment. In normal humans, about 30% of their life-time is spent for sleep. Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute animal brains. Sleep scoring is under taken by the examination and visual inspection of polysomnograms (PSG) done by sleep specialist. PSG is specialty test, the conduction of which includes the recording of various physiological signals. The signals obtained are processed using digital processing tools so as to extract information. Soft computing techniques are used to analyze the signals. ANNs are parallel adaptive systems suitable for solving of non-linear problems. Using ANN for automatic sleep scoring is especially promising because of new ANN learning algorithms allowing faster classification without decreasing the performance. Both appropriate preparations of training data as well as selection of the ANN model make it possible to perform effective and correct recognizing of relevant sleep stages. Such an approach is highly topical, taking into consideration the fact that there is no automatic scorer utilizing ANN technology available at present. The high performances observed with systems based onneural networks highlight that these tools may be act new tools in the field of sleep research. In this scenario we are surmised the review regarding the computer assisted automatic scoring of sleep and soft computing technique Artificial Neural Network.

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Anuj Jain

Papers

Improved routing in MANET with optimized multi path routing fine tuned with hybrid modeling

Automatic Sleep Scoring Stages using Real-Time EMG Signals

A Novel Approach for Computer Assisted Sleep Scoring Mechanism using ANN

Image Error Concealment Method by Hiding a Copy of the Same Image in it in Spatial and Wavelet Domain before Transmission

A Novel Computer Assisted Automatic Sleep Scoring System by Employing Artificial Neural Network–A review