Improving the Lifetime of Wireless Sensor Networks Based on Routing Power Factors

Alkalbani, Abdullah Said; Mantoro, Teddy; Tap, Abu Osman Md

doi:10.1007/978-3-642-30507-8_47

Cited by 15 publications

(8 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, the credibility (Cr) of v from w is calculated as (2) Where (3) represents total number of transactions performed by peer u with peer v, IS(v) represents set of peers that have interacted with peer v, denotes common set of peers interacted with peer v and w for computation. The stimulation for the community for the incentive or rewards is done through the context factor with the following expression:…”

Section: A) Peer Trust Modelmentioning

confidence: 99%

“…Wireless sensors are small size devices equipped with radio transceivers and low energy sources. Tentative features of sensor node incorporate energy, memory and low cost calculation hardware [3][4]. A wireless sensor network is intended to sense, collect, processes and transmit event specific information in order to accomplish a distributed domain task.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

2015

View full text Add to dashboard Cite

This paper reports the power consumption and resource utilization of a trust and reputation model deployed in a wireless sensor network. The impact of sensor augmentation parameter for static and dynamic wireless sensor network (WSN) with trust and reputation models has been examined. Specifically, 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. Additionally, 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.

show abstract

Section: A) Peer Trust Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2015

View full text Add to dashboard Cite

show abstract

“…As shown in Figure 2, this mechanism improves secure and energy aware routing path by combination between security solutions for trustworthiness between network nodes called Modified Reputation based Trust (MRT) which described in [3], improving the lifetime of WSN based on routing power factors in [19] and Optimized Energy Aware Routing Path (OEARP) which presented in [20]. …”

Section: Research Frameworkmentioning

confidence: 99%

Hybrid Solution for Secured and Energy Aware Routing Path in Wireless Sensor Networks

Alkalbani¹,

Mantoro²,

Moedjiono³

et al. 2015

2015 Fourth International Conference on Cyber Security, Cyber Warfare, and Digital Forensic (CyberSec)

Self Cite

View full text Add to dashboard Cite

Recently, Wireless Sensor Networks (WSNs) and its applications have obtained considerable momentum due to its growing usage in different applications. However, security and power limits of WSNs are still important matters especially during routing since the early beginning of this research due to few of previous studies take into consideration security threats and energy consumption at the same time. Many existing approaches at most concentrate on cryptography to improve data security but this addresses only a part of the security problem without consideration for high energy consumption. This article presents a hybrid solution that depends on combination between network nodes trustworthiness and energy aware routing mechanism. This solution provides security and minimizes power consumption during routing. Performance and efficiency are measured through simulation results, analysis and comparison with well-known mechanisms.

show abstract

“…WSNs can be equally deployed in the numerous application areas including military, habitat monitoring, industrial process control, home automation, weather forecasting, health care etc. Typical constraints of a sensor node include small size, transceivers and energy consumption [2][3]. The behaviour of wireless sensor network depends on the nodes cooperation in the scenario [4][5].Mathematically, WSN may be referred as the summation of the nodes linked to perform the apportioned task.…”

Section: Introductionmentioning

confidence: 99%

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

Verma

2017

IEEE Sensors J.

View full text Add to dashboard Cite

Improving the Lifetime of Wireless Sensor Networks Based on Routing Power Factors

Cited by 15 publications

References 11 publications

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

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

Hybrid Solution for Secured and Energy Aware Routing Path in Wireless Sensor Networks

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

Contact Info

Product

Resources

About