Scalability Analysis for Wireless Sensor Networks Routing Protocols

Alazzawi, Lubna; Elkateeb, Ali; Ramesh, A.

doi:10.1109/waina.2008.178

Cited by 28 publications

(11 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Scalability describes the adaptive ability of a location identification system to allow many instances of the technology to operate independently without interfering with each other, while at the same time the system stability is still maintained [243]. Scalability is a critical factor that guarantees the overall performance of location identification systems since the number of cooperating smallscale, low-powered nodes with limited sensing and computational capability may often need to be replaced or increased.…”

Section: Scalabilitymentioning

confidence: 99%

Indoor location identification technologies for real-time IoT-based applications: An inclusive survey

Oguntala

Abd‐Alhameed

Jones

et al. 2018

Computer Science Review

113

View full text Add to dashboard Cite

The advent of the Internet of Things has witnessed tremendous success in the application of wireless sensor networks and ubiquitous computing for diverse smart-based applications. The developed systems operate under different technologies using different methods to achieve their targeted goals. In this treatise, we carried out an inclusive survey on key indoor technologies and techniques, with to view to explore their various benefits, limitations, and areas for improvement. The mathematical formulation for simple localization problems is also presented. In addition, an empirical evaluation of the performance of these indoor technologies is carried out using a common generic metric of scalability, accuracy, complexity, robustness, energy-efficiency, cost and reliability. An empirical evaluation of performance of different RF-based technologies establishes the viability of Wi-Fi, RFID, UWB, Wi-Fi, Bluetooth, ZigBee, and Light over other indoor technologies for reliable IoT-based applications. Furthermore, the survey advocates hybridization of technologies as an effective approach to achieve reliable IoT-based indoor systems. The findings of the survey could be useful in the selection of appropriate indoor technologies for the development of reliable real-time indoor applications. The study could also be used as a reliable source for literature referencing on the subject of indoor location identification.

show abstract

Section: Scalabilitymentioning

confidence: 99%

Indoor location identification technologies for real-time IoT-based applications: An inclusive survey

Oguntala

Abd‐Alhameed

Jones

et al. 2018

Computer Science Review

113

View full text Add to dashboard Cite

show abstract

“…Let P k i,j denote the k-th path between n i and n j . For random networks with n nodes, both the maximum and the average number of hops in paths between nodes increase as Θ( √ N ) [33,34].…”

Section: Packet Countmentioning

confidence: 99%

Analysis and Evaluation of anEnergy-Efficient Routing Protocol for WSNsCombining Source Routing and MinimumCost Forwarding

Miyandoab

Ferreira

Tavares

2019

JMM

View full text Add to dashboard Cite

Source routing (SR) minimum cost forwarding (MCF)-SRMCF-is a reactive, energy-efficient routing protocol proposed to improve the existent MCF methods utilized in heterogeneous wireless sensor networks (WSN). This paper presents an analytical analysis with experimental support that demonstrates the effectiveness of the proposed protocol. SRMCF stems from SR concepts and MCF methods exploited in ad hoc WSNs, where all unicast communications (between sensor nodes and the base station, or vice versa) use minimum cost paths. The protocol utilized in the present work was updated and now also handles link and node failures. Theoretical analysis and simulations show that the final protocol exhibits better throughput and energy consumption than MCF. Memory requirements for the routing table in the base station are also analyzed. Experimental results in a real scenario were obtained for implementations of both protocols, MCF and SRMCF, deployed in a small network of TelosB motes. Results show that SRMCF presents a 33% higher throughput and 24% less energy consumption than MCF. Extensive

show abstract

“…In the equation (3), A is working area, N is number of nodes and R is the radio transmission range [19].…”

Section: Network Scalabilitymentioning

confidence: 99%

Network Performance Enhancement with Optimization Sensor Placement in Wireless Sensor Network

Farahani¹

2017

IJWMN

View full text Add to dashboard Cite

show abstract

Scalability Analysis for Wireless Sensor Networks Routing Protocols

Cited by 28 publications

References 9 publications

Indoor location identification technologies for real-time IoT-based applications: An inclusive survey

Indoor location identification technologies for real-time IoT-based applications: An inclusive survey

Analysis and Evaluation of anEnergy-Efficient Routing Protocol for WSNsCombining Source Routing and MinimumCost Forwarding

Network Performance Enhancement with Optimization Sensor Placement in Wireless Sensor Network

Contact Info

Product

Resources

About