In this paper, a blockchain-based secure routing model is proposed for the Internet of Sensor Things (IoST). The blockchain used to register nodes and store data packets’ transactions. Moreover, Proof Authority (PoA) consensus mechanism in avoid extra overhead incurred due use Work (PoW) mechanism. Furthermore, during packets, malicious can exist IoST network, which eavesdrop communication. Therefore, Genetic Algorithm-based Support Vector Machine (GA-SVM) Decision Tree (GA-DT) models are...

In this work, we propose a method based on Genetic algorithm hybridized with Pattern Search for joint estimation of Amplitude and Direction Arrival, azimuth as well elevation angles using L-type array. Four other schemes, i.e., the algorithm, Search, Simulated Annealing are also discussed compared Search. Multiple sources taken in far fleld sensors array Mean Square Error is fltness function. This function optimal nature requires only single snapshot. It avoids any ambiguity or required...

Parameter estimation of Direction Arrival (DOA) using deterministic and stochastic computing paradigms is an enabling development for underwater acoustic signal processing beside its applications in the field seismology, astronomy, earthquake bio-medicine. In this work, comparative study between state art heuristics algorithms presented viable DOA different dynamic objects. A Uniform Linear Array (ULA) eight hydrophones used impinging waves from far-field targets. order to evaluate...

Three issues regarding sensor failure at any position in the antenna array are discussed. We assume that is known. The include raise sidelobe levels, displacement of nulls from their original positions, and diminishing null depth. required depth achieved by making weight symmetrical complement passive. A hybrid method based on memetic computing algorithm proposed. combines cultural with differential evolution (CADE) which used for reduction levels placement positions. Fitness function to...

In this paper, we have addressed three major problems of uniform linear array in case a sensor failure at any position. We assume that position is known. The include increase sidelobe levels, displacement nulls and diminishing null depth. desired depth achieved by making the weight symmetrical counterpart element passive. Genetic algorithm (GA) along with pattern search (PS) used for reduction adjustment nulls. Fitness function minimizing error between estimated beam constraints used....

This paper presents a hybrid model, named as deep neural network, which combines convolutional particle swarm optimization, and gated recurrent unit, termed network-particle optimization-gated unit model. The major aims of the model are to perform accurate electricity theft detection overcome issues in existing models. include overfitting inability models handle imbalanced data. For this purpose, consumption data smart meters is taken from state grid corporation China. An electric utility...

Power prediction is important not only for the smooth and economic operation of a combined cycle power plant (CCPP) but also to avoid technical issues such as outages. In this work, we propose utilize machine learning algorithms predict hourly‐based electrical generated by CCPP. For this, considered function four fundamental parameters which are relative humidity, atmospheric pressure, ambient temperature, exhaust vacuum. The measurements these their yielded output used train test models....

In this paper, we propose a structure for independent null steering by decoupling complex weights. It has the advantage of of(N-1) nulls linear array having N elements and weights are decoupled such that each weight corresponds to particular null. For purpose, position zero factor on unit circle in plane is controlled corresponding structure. means if single jammer changes its position, only be recalculated, which reduces computational complexity.

In this paper, we propose a method based on evolutionary computations for joint estimation of amplitude, Direction Arrival and range near fleld sources. We use memetic computing in which the problem starts with global optimizer ends up local flne tuning. For this, Genetic algorithm Simulated annealing as while Interior Point Algorithm rapid optimizer. set Mean Square Error fltness evaluation function deflnes an error between actual estimated signal. This is optimum derived from Maximum...

Deceptive jamming is one of the indispensable part electronic countermeasure technology, which has a significant role in modern warfare to secure aircrafts from imminent threats. This research work proposes novel Frequency Diverse Array-Multiple Input Multiple Output (FDA-MIMO) deceptive method for neutralizing opponent Phase Array Radar (PAR). The proposed model works passive mode. It interrupts radar signals and after addition signals, processed are propagated back neutralize surveillance...

An easy and efficient approach, based on artificial intelligence technique, is proposed to jointly estimate the amplitude, elevation, azimuth angles of far field sources impinging 2-L-shape array. In these techniques, metaheuristics genetic algorithm simulated annealing are used as global optimizers assisted with rapid local version pattern search for optimization adaptive parameters. The performance metric employed a fitness evaluation function depending mean square error which optimum...

In orthogonal frequency division multiplexing (OFDM), sidelobes of the modulated subcarriers cause high out-of-band (OOB) radiation, resulting in interference to licensed and un-licensed users a cognitive radio system environment. this work, we present novel technique based on generalized sidelobe canceller (GSC) for reduction sidelobes. The upper branch GSC consists weight vector designed by multiple constraints preserve desired portion input signal. lower has blocking matrix that blocks...

The aim of this work is to estimate jointly the elevation and azimuth angles along with amplitudes multiple signals impinging on 1-L- 2-L-shape arrays. An efficient mechanism based hybrid Bioinspired techniques proposed for purpose. global search optimizers such as Differential Evolution (DE) Particle Swarm optimization (PSO) are hybridized a local optimizer called pattern (PS). Approximation theory in Mean Square Error sense exploited develop fitness function problem. unknown parameters...

In this paper, a routing protocol based on energy temperature degree-low energy-adaptive clustering hierarchy (ETD-LEACH) is proposed. the protocol, nodes consume less when transmitting data, which improves network lifetime. The proposed selects cluster heads (CHs) bases of degree, temperature, and to perform routing. Moreover, for solving issue single point failure, blockchain utilized. data transactions are also housed in blockchain, deployed CHs BSs, as, multiple take part. Therefore,...

In this paper, we proposed an evolutionary algorithm for joint estimation of amplitude and DOA signals impinging from far field on a uniform linear array. We used Differential Evolution with Mean Square Error as fitness evaluation function. This function defines error between actual estimated signal is derived Maximum Likelihood Principle. It does not require any permutations to link it the angles in previous snapshot. requires only single snapshot converge produce fairly good results even...

This paper proposes an efficient approach for four-dimensional (4D) parameter estimation of plane waves impinging on a 2-L shape array. The 4D parameters include amplitude, frequency and the two-dimensional (2D) direction arrival, namely, azimuth elevation angles. proposed is based memetic computation, in which global optimizer, particle swarm optimization hybridized with rapid local search technique, pattern search. For this purpose, new multi-objective fitness function used. combination...

In this study, we compare the performance of three null steering techniques using uniform linear array. These include Null Steering without Phase Shifters, by Decoupling Real Weights and Complex Weights. The evaluation criteria these is based on bases different parameters i.e., depth, main beam width, side lobe levels, number steerable nulls, computational complexity sensors used in validity effectiveness reflected resultant radiation pattern