Performance Evaluation of the WSN Routing Protocols Scalability

Alazzawi, Lubna; Elkateeb, Ali

doi:10.1155/2008/481046

Cited by 52 publications

(25 citation statements)

References 8 publications

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“…In order to get an accurate delay value, propagation delay and queuing time need to be considered (Alazzawi and Elkateeb, 2008). Low delay indicates high quality routing process, while high delay indicates otherwise.…”

Section: Delaymentioning

confidence: 99%

Ant Colony Optimization Approaches in Wireless Sensor Network: Performance Evaluation

Nasir¹,

Ku-Mahamud²,

Kamioka³

2017

Journal of Computer Science

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Wireless Sensor Network (WSN) has been widely implemented in large sectors such as military, habitat, business, industrial, health and environment. WSN is part of a distributed system where elements such as routing, load balancing, energy efficiency, node localization, time synchronization, data aggregation and security need to be addressed to improve its efficiency, robustness, extendibility, applicability and reliability. Despite multiple approaches proposed to improve all these aspects, there is still room for improvement in order to enhance the capability of WSN in terms of routing and energy efficiency. Ant Colony Optimization (ACO) is one of the approaches used to extend WSN capabilities because its heuristic nature is very suitable with distributed and dynamic environments. This study covers the common WSN aspects and performance evaluation criteria in addition to the list of previous studies that have used ACO approaches in WSN.

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Section: Delaymentioning

confidence: 99%

Ant Colony Optimization Approaches in Wireless Sensor Network: Performance Evaluation

Nasir¹,

Ku-Mahamud²,

Kamioka³

2017

Journal of Computer Science

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“…To determinate the efficiency and lifetime of network in sensor network, there are several factors that should be consider like total number of sensor nodes, node arrangement as well as node density [23] which further useful in to determine the performance metric like network lifetime, throughput, energy consumption . Figure 2 characterizes the performance metric of the sensor network.…”

Section: Performance Metric In Wsnmentioning

confidence: 99%

Performance metric analysis of modified LEACH routing protocol in wireless sensor network

Priyadarshi¹,

Tripathi²,

Bhardwaj³

et al. 2017

IJET

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The lifetime of a network is reflected as one of the vital concerns in wireless sensor network because of a huge number of nodes and further its density and distribution. When the network size increases then routing protocol becomes one of the crucial issues that which routing protocol one should use so that network lifetime to be enhanced. Furthermore, sensor nodes must be alive to promise that network process must continue without any interruption or any loss of data in the network. In fact, there are a lot of clustering method is there to augment the network lifetime. But in this paper, presented routing protocol that is based on existing LEACH protocol called as K-mean clustering routing (KLEACH). Simulation results show that efficiency of the network has been improved and network lifetime has been also enhanced compared to existing LEACH protocol. Network lifetime of KLEACH protocol is almost increased by 40% and energy consumption is also decrease by almost 38% which reflects the good agreement of KLEACH algorithm compared to existing algorithm.

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“…Performance Metrics These metrics are used to evaluate the performance of the IEERP protocol [24,25] …”

Section: 1mentioning

confidence: 99%

An Immune-Based Energy-Efficient Hierarchical Routing Protocol for Wireless Sensor Networks

Sabor

Sasaki

Abo‐Zahhad

et al. 2016

IJFGCN

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Performance Evaluation of the WSN Routing Protocols Scalability

Cited by 52 publications

References 8 publications

Ant Colony Optimization Approaches in Wireless Sensor Network: Performance Evaluation

Ant Colony Optimization Approaches in Wireless Sensor Network: Performance Evaluation

Performance metric analysis of modified LEACH routing protocol in wireless sensor network

An Immune-Based Energy-Efficient Hierarchical Routing Protocol for Wireless Sensor Networks

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