On the effects of fading and mobility in on-demand routing protocols

Nassef, Laila

doi:10.1016/j.eij.2010.10.003

Cited by 10 publications

(6 citation statements)

References 14 publications

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“…Unfortunately the impact of the fading on the performances of the protocols has not been clearly identified. Fading impact on reactive protocols AODV and DYMO were evaluated by the authors of [16] using different propagation models.…”

Section: Related Workmentioning

confidence: 99%

Nakagami Fading Impact on the Performances of VANET Routing Protocols in a Realistic Urban

Brahmia¹,

Tolba²

2020

IJANA

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Quality of service is negatively impacted by the attenuation of the communication signal over the transmission distance. The attenuation phenomena can be modelled using different fading models; Nakagami model is regarded as the most realistic one. Attenuation in VANET is more challenging since it depends also on vehicle's length and node density. The main purpose of this paper is to evaluate the performances of Ad hoc On-demand Distance Vector, Dynamic destination-Sequenced Distance Vector and Optimized Link State Routing protocols. A real map from an urban zone has been used. The map has been prepared using the simulator of urban mobility (SUMO) for the network simulator 3 (ns-3). Results show that Ad hoc On-demand Distance Vector Routing Protocol outperforms the others being the most resistant to fading phenomena.

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Section: Related Workmentioning

confidence: 99%

Nakagami Fading Impact on the Performances of VANET Routing Protocols in a Realistic Urban

Brahmia¹,

Tolba²

2020

IJANA

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“…The ability of other nodes to communicate with the BS will be disabled once the energy of the CH gets eventually exhausted. Simplified propagation models that were used by radio propagation models were used to evaluate the performance of these protocols [12]. The normal shadowing path loss model is a reliable channel model to use in contrasting these routing strategies and it has been shown by the power grid environments were designed utilizing WSNs compatible with IEEE 802.15.4.The results showed that the radio transmission conditions of the smart grid had a significant impact on the performance of all protocols.The results of this study have shown that the performance observed in the protocols used in the study have been affected by radio transmission conditions of the smart grid.…”

Section: Introductionmentioning

confidence: 99%

A NOVEL ROUTING PROTOCOL IN WIRELESS SENSOR NETWORK’s (WSN) BASED ON CLUSTER OPTIMIZATION

Kevin¹

2020

ijarcs

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Smart Electric Grids are authentically tracked and managed using Wireless Sensor Networks (WSN) for different applications in the field of Smart Grid applications. The purpose of this paper is to simulate and scrutinize the performance of four WSN Routing protocols operating in various smart grid environments. The four WSN routing protocols that will be analyzed in this paper are the Low Energy Adaptive Clustering Hierarchy (LEACH), Centralized LEACH (LEACT-C) and two conventional protocols namely Minimum Transmission Energy (MTE) and Static Clustering. It is important to select and use the appropriate WSN routing protocol for smart grid applications and this study provides an understanding of how each protocol perform under different environments. The results of the study have shown that the clustering approach is more reliable than the conventional protocols namely static clustering and MTE. Rather, uniform dissipation of energy through the sensor nodes was observed in the clustering approach which is important as it increases the lifetime of the networks through less energy consumption.

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“…When the CH node's energy is depleted, the nodes in the cluster lose communication ability with the BS and are essentially dead. Many radio propagation models have been used to predict performance of these protocols using simplified propagation models [12]. They have analyzed and performed simulation using free space model and two ray radio propagation model that fails to reflect actual performance of these routing protocols.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2018

IJASSN

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Wireless Sensor Networks (WSN) is widely deployed in different fields of applications of smart grid to provide reliable monitoring and controlling of the electric power grid. The objective of this paper is simulate and analyze impact of various smart grid environments on performance of four different WSN routing protocols namely the Low Energy Adaptive Clustering Hierarchy (LEACH) and Centralized LEACH (LEACT-C) as well as other two conventional protocols namely Minimum Transmission Energy (MTE) and Static Clustering. This analysis would be beneficial in making the correct choice of WSN routing protocols for various smart grid applications. The performance of the four protocols is simulated using NS-2 network simulation on Ubuntu. The results are analyzed and compared using number of data signals received at base station, energy consumption, and network lifetime as performance metrics. The results show that the performance of various protocols in the smart grid environments have deteriorated due log normal channel characteristics and consequently network lifetime have decreased significantly. The results also indicate that clustering based routing protocols have more advantageous over conventional protocols; MTE and static clustering. Also, centralized clustering approach is more effective as it distributes energy dissipation evenly throughout the sensor nodes which reduce energy consumption and prolong the networks' lifetime. This approach is more effective in delivering data to base station because it has global knowledge of the location and energy of all the nodes in the network.

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On the effects of fading and mobility in on-demand routing protocols

Cited by 10 publications

References 14 publications

Nakagami Fading Impact on the Performances of VANET Routing Protocols in a Realistic Urban

Nakagami Fading Impact on the Performances of VANET Routing Protocols in a Realistic Urban

A NOVEL ROUTING PROTOCOL IN WIRELESS SENSOR NETWORK’s (WSN) BASED ON CLUSTER OPTIMIZATION

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