Vinod Kumar Verma

Sensors Augmentation Influence Over Trust and Reputation Models Realization for Dense Wireless Sensor Networks

This paper reports the power consumption and resource utilization of a trust and reputation model deployed in a wireless sensor network (WSN). The impact of sensor augmentation parameter for static and dynamic WSN with trust and reputation models has been examined. In particular, we present a novel WSN framework-based investigations on peer trust and linguistic fuzzy trust model (LFTM) for trust and reputation models. Accuracy, path length, and energy consumption of sensor node operations are reported for their current and average scenarios. In addition, we emphasized over the satisfaction evaluation for LFTM model in the deployed WSN framework. The performance of the sensor augmentation for our proposed framework is evaluated via analytic bounds and numerical simulations. Analytical results together with simulation results exhibit the eminence of the proposed sensor augmentation-based realization over past trust and reputation model investigations.

Comprehensive event based estimation of sensor node distribution strategies using classical flooding routing protocol in wireless sensor networks

We derive a new investigation for the wireless sensor networks (WSNs) when the underlying sensor node distribution strategies have strong influence on event specific communication performance. In this paper, we inclusively evaluated eight sensor network distributions namely: normal, gamma, exponential, beta, generalized inverse Gaussian, poison, Cauchy and Weibull. We designed and illustrated our proposed model with these node distributions for data dissemination. Moreover, performance evaluation matrices like sense count, receive count and receive redundant count are also evaluated. Additionally, we emphasized over the routing protocol behavior for different distribution strategies in the deployed WSN framework. Finally, simulation analysis has been carried out to prove the validity of our proposal. However, routing protocol for WSNs seems intractable to the sensor node distribution strategies when varied from one to another in the scenario.

Impact of malicious servers over trust and reputation models in wireless sensor networks

This article deals with the impact of malicious servers over different trust and reputation models in wireless sensor networks. First, we analysed the five trust and reputation models, namely BTRM-WSN, Eigen trust, peer trust, power trust, linguistic fuzzy trust model. Further, we proposed wireless sensor network design for optimisation of these models. Finally, influence of malicious servers on the behaviour of above mentioned trust and reputation models is discussed. Statistical analysis has been carried out to prove the validity of our proposal.

Pheromone and Path Length Factor-Based Trustworthiness Estimations in Heterogeneous Wireless Sensor Networks

The energy consumption and the resource utilization are the most fundamental concerns to evaluate trustworthiness of any trust and reputation model (TRM) associated with heterogeneous wireless sensor networks (WSNs). However, existing TRMs used for WSNs are incapable of satisfying these concerns because of the gap between theoretical and actual evaluations. In this paper, we proposed investigations over initial pheromone and path length factor value for their strong influence on the performance of wireless sensor networks. Two important trust and reputation models are investigated namely: bio-inspired trust and reputation model and linguistic fuzzy trust and reputation (LFTM). The performance parameters, such as accuracy, path length, and energy consumption of sensor node operations, are evaluated. In addition, we emphasized over the satisfaction evaluation for LFTM model in the deployed WSN framework. Several experiments have been conducted to evaluate the efficiency of the proposed framework by keeping initial pheromone value fixed and path length factor varies and vice versa. The experimental results show that pheromone and path length factor affects to the performance of the above said trust and reputation models up to significant level in heterogeneous WSNs.

Analytical Event Based Investigations Over Delphi Random Generator Distributions for Data Dissemination Routing Protocols in Highly Dense Wireless Sensor Network

This paper focuses on the event based investigations over different data dissemination routing protocols for highly dense wireless sensor networks. Initially for the wireless sensor network domain, we analyzed data dissemination flooding and gossiping routing protocols. We etude and exemplify our proposed model for data dissemination based evaluation with Delphi random generator distribution strategy. We calculated performance metrics as sense count, transmit count, receive count and receive redundant count. At the end, simulations analysis has been carried out to prove the validity of our designed scenario.

Optimized Battery Models Observations for Static, Distance Vector and On-Demand Based Routing Protocols Over 802.11 Enabled Wireless Sensor Networks

We analyze a wireless sensor network system to address the impact of different battery models on five routing protocols. We present an analytical model to understand the key performance metrics like average jitter, first and last packet received, total bytes received, average end to end delay, throughput and energy consumption. We have proposed the various parameters of our model for static, distance vector and on demand based routing protocols along with linear and service life estimator battery model. The validation of proposed parameters through simulation and derive substantial investigations in wireless sensor network system.

Collusion Based Realization of Trust and Reputation Models in Extreme Fraudulent Environment over Static and Dynamic Wireless Sensor Networks

We derive a new representation for the collusive sensor nodes when the underlying fraudulent correlated environment has strong influence on wireless sensor networks performance. We have evaluated collusion effect with respect to static (SW) and dynamic (DW) wireless sensor networks to derive the joint resultant. Moreover accuracy, path length, and energy consumption of sensor node operations are also evaluated. Additionally, we emphasized over the satisfaction evaluation for linguistic fuzzy trust and reputation (LFTM) models in the deployed WSN framework. Finally, simulation analysis has been carried out to prove the validity of our proposal. However, collusion for wireless sensor networks seems intractable with the static and dynamic WSNs when varied with specified number of fraudulent nodes in the scenario.

Towards comparative evaluation of trust and reputation models over static, dynamic and oscillating wireless sensor networks

Trust and reputation models emerges new facet that aims to provide secure and reliable computations in distributed computational environment. In this manuscript, we propose pervasive explorations of wireless sensor network to investigate the effect of static, dynamic and oscillating modes. Our proposed model constitutes five trust and reputation models namely: bio-inspired trust and reputation, Eigen trust, peer trust, power trust, linguistic fuzzy trust and reputation. The impact of different wireless sensor networks modes has been judged for accuracy, path length and energy consumption over deployed models. Further experimental results have demonstrated to prove the validity of our proposal.

Data proliferation based estimations over distribution factor in heterogeneous wireless sensor networks

Abstract In this paper, a new representation for the chi-squared distribution has been derived over wireless sensor networks (WSN). The underlying correlated data proliferation protocols have strong influence on performance of the deployed system. A proposed model has been deployed to investigate the WSN system over the data proliferation aspect. Initially, the degree of freedom (DOF) factor has been evaluated with respect to scalability issue in the proposal. Further, the factors affecting the outcome of the WSN system assessing data proliferation have been investigated. Moreover, sensor node operations namely: sense count, transmit count and receive redundant count have also been evaluated. Finally, extensive simulation analysis has been carried out to prove the validity of the proposed innovative scheme. However, it has also been investigated that chi-distribution for wireless sensor networks seems intractable with the degree of freedom, when varied with a specific number of nodes.