0000000000790143

AUTHOR

Sidi-mohamed Senouci

showing 4 related works from this author

RBCR: a Relay-Based Cooperative Routing Protocol for Cooperative Wireless Sensor Network

2011

International audience; In wireless sensor networks several constraints decrease communications performances. The main objective of this paper is to present a multi-objective routing algorithm RBCR that computes routing path based on the energy consumption and channel qualities. Additionally, the channel qualities are evaluated based on the presence of relay nodes. Compared to AODV and AODV associated to a cooperative MAC protocol, RBCR provides better performances.

Routing protocolDynamic Source RoutingComputer scienceWireless ad hoc networkDistributed computing[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]0211 other engineering and technologiesWireless Routing Protocol02 engineering and technologylaw.invention[SPI]Engineering Sciences [physics][INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]RelaylawAd hoc On-Demand Distance Vector Routing0202 electrical engineering electronic engineering information engineeringComputingMilieux_MISCELLANEOUS021103 operations researchmulti-objective routing protocolbusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsRouting (electronic design automation)cooperative relayingbusinessWireless sensor networkComputer network
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ECAR: an Energy/Channel Aware Routing Protocol For Cooperative Wireless Sensor Networks

2011

International audience; The proliferation of low power networks like Wireless Sensor Networks (WSN) rose up new challenges. Power conservation and channel quality become the most important parameters. Obviously, hop count based routing protocols are no more adapted to such networks having power limitations and channel problems. Several alternatives were suggested to cope with these constraints. In MAC layer for example, cooperative protocols were designed to enhance the channel use: the neighbor nodes help the source to retransmit its packets. However, if the path proposed by the routing protocol contains poor channels, the cooperative communications will not save all the packets. Therefore…

Routing protocolDynamic Source RoutingComputer scienceDistributed computing[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Enhanced Interior Gateway Routing ProtocolWireless Routing Protocol02 engineering and technology01 natural sciencesHop (networking)Routing Information Protocol[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Ad hoc On-Demand Distance Vector Routing0202 electrical engineering electronic engineering information engineeringDestination-Sequenced Distance Vector routingwireless sensor networksComputingMilieux_MISCELLANEOUSenergy efficiency0105 earth and related environmental sciencesZone Routing ProtocolStatic routing010505 oceanographyNetwork packetbusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSPath vector protocol020206 networking & telecommunicationsDistance-vector routing protocolLink-state routing protocolOptimized Link State Routing ProtocolInterior gateway protocolbusinesscooperative relayingWireless sensor networkbiobjective routing protocolEfficient energy useComputer network
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A combined relay-selection and routing protocol for cooperative wireless sensor networks

2012

International audience; In wireless sensor networks several constraints decrease communications performances. In fact, channel randomness and energy restrictions make classical routing protocols inefficient. Therefore, the design of new routing protocols that cope with these constraints become mandatory. The main objective of this paper is to present a multi-objective routing algorithm RBCR that computes routing path based on the energy consumption and channel qualities. Additionally, the channel qualities are evaluated based on the presence of relay nodes. Compared to AODV and AODV associated to a cooperative MAC protocol, RBCR provides better performances in term of delivery ratio, power …

Routing protocolDynamic Source RoutingComputer science[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Distributed computingEnhanced Interior Gateway Routing ProtocolWireless Routing Protocol02 engineering and technologylaw.inventionRouting Information Protocol[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Ad hoc On-Demand Distance Vector RoutingRelaylaw0202 electrical engineering electronic engineering information engineeringDestination-Sequenced Distance Vector routingHierarchical routingZone Routing ProtocolStatic routingbusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSPolicy-based routingPath vector protocol020206 networking & telecommunicationsEnergy consumptionAd hoc wireless distribution serviceKey distribution in wireless sensor networksDistance-vector routing protocolOptimized Link State Routing ProtocolLink-state routing protocolMultipath routingInterior gateway protocol020201 artificial intelligence & image processingHazy Sighted Link State Routing ProtocolbusinessWireless sensor networkEfficient energy useComputer network2012 8th International Wireless Communications and Mobile Computing Conference (IWCMC)
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Deep Learning-Based Real-Time Object Detection in Inland Navigation

2019

International audience; Semi-autonomous and fully-autonomous systems must have knowledge about the objects in their environment to ensure a safe navigation. Modern approaches implement deep learning techniques to train a neural network for object detection. This project will study the effectiveness of using several promising algorithms such as Faster R-CNN, SSD, and different versions of YOLO, to detect, classify, and track objects in near real-time fluvial domain. Since no dataset is available for this purpose in literature, we first started by annotating a dataset of 2488 images with almost 35 400 annotations for training the convolutional neural network architectures. We made this data s…

Computer scienceObject detection02 engineering and technologyMachine learningcomputer.software_genreConvolutional neural networkDomain (software engineering)[SPI]Engineering Sciences [physics]0502 economics and businessMachine learning0202 electrical engineering electronic engineering information engineeringTrainingInland navigationAdaptation (computer science)050210 logistics & transportationArtificial neural networkbusiness.industryDeep learning05 social sciencesData modelsObject detectionNavigationRoadsData set020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerNeural networks
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