Mobile Computing

doi:10.1007/b102605

Cited by 86 publications

(3 citation statements)

References 13 publications

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“…Simulation models for the evaluation of wireless networks performance have been introduced by J. Broch et al [21] members of the CMU monarch group. They considered three metrics (packet loss, routing overhead and route length) and focused their work on four routing protocols: The Dynamic Source Routing (DSR) [22], AODV, The Temporally-Ordered Routing Algorithm (TORA) [23], and the Dynamic Destination-Sequenced Distance-Vector Routing (DSDV) [24]. Authors in [25] also compared the same routing protocols with a regard on energy consumption.…”

Section: Protocols Comparisonmentioning

confidence: 99%

Energy and Performance Evaluation of Reactive, Proactive, and Hybrid Routing Protocols in Wireless Mesh Network

Fendji¹,

Samo²

2019

IJWMN

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This paper evaluates the energy consumption of well-known routing protocols, along with other metrics such as throughput, packet delivery ratio (PDR), and delay in different scenarios. We consider two other metrics in order to capture the efficiency of the energy consumption: e-throughput which is the ratio between the consumed energy and the throughput; and the e-PDR which is the ratio between the consumed energy and the PDR. We compare four routing protocols: AODV, OLSR, and HWMP in Reactive and Proactive modes. The number of nodes is varying between 25 and 81 nodes, with different mobility models. Simulations are conducted using NS3 and the parameters of a real network interface card. From the results, AODV presents the lowest energy consumption and a better e-Throughput. OLSR provides a better e-PDR in mobile scenarios. With a smaller e-PDR and e-Throughput, the proactive mode of HWMP is more energy efficient than the reactive mode.

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Section: Protocols Comparisonmentioning

confidence: 99%

Energy and Performance Evaluation of Reactive, Proactive, and Hybrid Routing Protocols in Wireless Mesh Network

Fendji¹,

Samo²

2019

IJWMN

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“…The DMT-based EAODV routing protocol improves the energy consumption of pure AODV. Kim and Jang proposed New-AODV, an Enhanced AODV Routing Protocol, which attempts to extend the entire network lifetime by adjusting RREQ delay time [20]. Simulation on NS2 showed the superiority of New-AODV over the pure AODV routing protocol.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Energy Consumption of Proactive, Reactive, and Hybrid Routing Protocols in Wireless Mesh Networks Using 802.11 Standards

Samo¹,

Fendji²

2018

JCC

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This paper provides a deep evaluation of the energy consumption of routing protocols. The evaluation is done along with other metrics such as throughput and packet delivery ratio (PDR). We introduce two more metrics to capture the efficiency of the energy consumption: e-throughput and e-PDR. Both are ratios in relation to the energy. We consider the three low layers of the stack. Three types of routing protocols are used: proactive, reactive, and hybrid. At the MAC and PHY layer, three radio types are considered: 802.11a/b/g. Finally, the number of nodes is varying in random topologies, with nodes being static or mobile. Simulations are conducted using NS3. The parameters of a real network interface card are used. From the results in mobile position scenarios, no protocol is outperforming the others; even if OLSR has the lowest energy consumption, most of the time. However, in constant position scenarios, AODV consumed a lower energy, apart from the scenarios using the 802.11a standard where HWMP energy consumption is the lowest. Regarding the energy efficiency, AODV protocols provided the best e-throughput and OLSR the best e-PDR in overall configurations. A framework for selecting energy-efficient routing protocol depending on network characteristics is proposed at the end.

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“…Simulation setup: Each simulation run consists of 20 mobile nodes moving following a modification of the Random Waypoint Model (RWP) [7] for 1000 steps. Each node is measuring signal strength from every other node, and predicts signal strength using (2) for each discrete time point.…”

Section: Simulation Test Of the Proposed Approachmentioning

confidence: 99%

Alternative topology construction for cooperative data distribution in mobile ad hoc networks

Cvjetkovic

Rakocevic

2016

2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract-Ad hoc networks of mobile nodes can be used to extend or improve connectivity, and cooperative data distribution represents the basis of this approach. Cooperation in such networks can be improved by providing nodes with information on network dynamics and topology changes. This paper proposes a proactive approach to handling mobility-induced network topology changes. The approach uses signal strength trends to predict the future locations and connectivity between the network nodes. Our research is aimed towards the creation of an alternative topology in each node, where a node would keep other nodes suitability for cooperation in the data distribution. In this paper we present the initial algorithm and test the prediction method using a simulation. The algorithm is then applied in an experimental testbed where its performance was tested using real moving nodes executing a real data distribution process. The performance results show a significant improvement in terms of file transfer delay. Permanent repository link

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Mobile Computing

Cited by 86 publications

References 13 publications

Energy and Performance Evaluation of Reactive, Proactive, and Hybrid Routing Protocols in Wireless Mesh Network

Energy and Performance Evaluation of Reactive, Proactive, and Hybrid Routing Protocols in Wireless Mesh Network

Evaluation of Energy Consumption of Proactive, Reactive, and Hybrid Routing Protocols in Wireless Mesh Networks Using 802.11 Standards

Alternative topology construction for cooperative data distribution in mobile ad hoc networks

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