IRDFPR-CMDNN: An energy efficient and reliable routing protocol for improved data transmission in MANET
Annotation
Mobile Ad hoc Networks (MANET) are structure less, autonomous wireless networks with mobile nodes that dynamically establish data transmission connections. Due to dynamic topological change, MANET routes are unbalanced and break repeatedly. Hence, providing efficient and reliable data delivery with effective utilization of network resources is a challenging issue to be considered in MANET. This paper proposes an instant-runoff Ranked Decision Forests Probit Regression-based Connectionist Multilayer Deep Neural Network (IRDFPR-CMDNN) for efficient data transmission and higher data delivery with a minimum end-to-end delay. This IRDFPR-CMDNN method performs route identification, data delivery, and route maintenance with more than three layers. Then the mobile nodes are sent to the input layer of the Connectionist Multilayer Deep Neural Network. In hidden layer 1, the Instant-runoff Ranked Decision Forests algorithm is applied for classifying the mobile nodes depending on the residual energy and load capacity. With selected mobile nodes, the Probit Regression is applied for finding the nearest neighboring nodes in the second hidden layer based on the link quality and received signal strength for route path establishment. Then multiple paths for routing are established from source to destination node and start to perform the data transmission. If link failure occurs during the data transmission, another alternative route with better link quality is selected for routing. In this way, energy-efficient data transmission is performed from source to destination with a higher data delivery rate and minimal time consumption. Experimental evaluation is carried out on energy consumption, packet delivery ratio, packet drop rate, throughput, and end-to-end delay with varying numbers of mobile nodes and data packets. Simulation results show that the IRDFPR-CMDNN technique effectively enhances data delivery, throughput and minimizes energy consumption, packet loss rate, delay with respect to conventional methods.
Keywords
Постоянный URL
Articles in current issue
- Dynamic range restrictions influence of the fiber-optic towed seismic streamer on the seismogram quality
- Control of MIMO linear plants with a guarantee for the controlled signals to stay in a given set
- Elliposoidal estimates of trajectory sensitivity of multi-dimensional processes based on generalized singular values problems
- Nonlinear rheological models and their application to describe the mechanical behavior of highly oriented polymer materials
- Research on the effectiveness of noise reduction when encoding a lossless speech signal
- Lightweight approach for malicious domain detection using machine learning
- Cloud computing simulation model with a sporadic mechanism of parallel task solving control
- Methods of local features extraction in person authentication task by face thermographic image
- Classification of short texts using a wave model
- Algorithm for energy-efficient interaction of wireless sensor network nodes
- Auxiliary arbitrary waveform generator for fiber optic gyroscope
- Constructing twitter corpus of Iraqi Arabic Dialect (CIAD) for sentiment analysis
- A novel framework for the prevention of black-hole in wireless sensors using hybrid convolution network
- Modern variations of McEliece and Niederreiter cryptosystems
- Lightweight ECC and token based authentication mechanism for WSN-IoT
- Model of the acoustic path of a separatecombined optical-acoustic transducer
- Study on received signal strength of femtocell with circular and rectangular microstrip patch antenna designed at 2.55 GHz
- Whirlpool Hash Mutual Biometric Serpent Authentication (WPHMBSA) for secured data access in cloud environment
- IRDFPR-CMDNN: An energy efficient and reliable routing protocol for improved data transmission in MANET
- Influence investigation of electromagnetic-acoustic transducer parameters on thickness measurement accuracy by numerical modeling methods
- Detection of quadcopter propeller failure by machine learning methods
- Throughput modeling of cellular network systems with spatial precoding
- Visual display system of changes in physiological state for patients with chronic disorders
- Method for discovering spatial arm positions with depth sensor data at low-performance devices