0000000000330175

AUTHOR

Debasish Ghose

showing 12 related works from this author

Health Applications Based on Molecular Communications: A Brief Review

2019

This work analyses significant cases in which applications of molecular communication systems to nano/bio-hybrid medical field represent an ideal solution for medical therapies (e.g., for the treatment of diseases such as cancer). A review of the literature reveals that biocompatibility jointly with nanocommunication can be exploited to provide effective treatment of diseases and reduce side effects considerably when compared to conventional therapy. Biocompatibility avoids the immune response rejecting drugs and does not stimulate nerves, whereas nanocommunication is a promising technology that allows accessing small and delicate body sites non-invasively. Refereed/Peer-reviewed

Molecular communicationBiocompatibilityComputer sciencemolecular communication020206 networking & telecommunicationsDNA02 engineering and technology021001 nanoscience & nanotechnologybiological communicationRisk analysis (engineering)gene expressionnanocommunication0202 electrical engineering electronic engineering information engineeringEffective treatment0210 nano-technology2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom)
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MAC Protocols for Wake-up Radio: Principles, Modeling and Performance Analysis

2018

[EN] In wake-up radio (WuR) enabled wireless sensor networks (WSNs), a node triggers a data communication at any time instant by sending a wake-up call (WuC) in an on-demand manner. Such wake-up operations eliminate idle listening and overhearing burden for energy consumption in duty-cycled WSNs. Although WuR exhibits its superiority for light traffic, it is inefficient to handle high traffic load in a network. This paper makes an effort towards improving the performance of WuR under diverse load conditions with a twofold contribution. We first propose three protocols that support variable traffic loads by enabling respectively clear channel assessment (CCA), backoff plus CCA, and adaptive …

Computer scienceWireless sensor networks (WSNs)02 engineering and technology01 natural sciencesWake-up radio (WuR)Medium access control (MAC) protocol0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringLatency (engineering)QueueEnergy-efficient communicationbusiness.industryNode (networking)010401 analytical chemistryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsEnergy consumptionINGENIERIA TELEMATICA0104 chemical sciencesComputer Science ApplicationsInternet of Things (IoT)Variable (computer science)Modeling and performance evaluationControl and Systems EngineeringbusinessWireless sensor networkInformation SystemsComputer networkEfficient energy useData transmission
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Priority-oriented multicast transmission schemes for heterogeneous traffic in WSNs

2016

To ensure quality of service (QoS) for heterogeneous traffic in IEEE 802.15.4 based wireless sensor networks (WSNs) is a challenging task since no traffic prioritization mechanism is defined in such WSNs. In this paper, we propose two priority-oriented multicast transmission schemes to provide QoS for heterogeneous traffic in WSNs. Contrary to the legacy CSMA/CA and FIFO principles, these schemes differentiate self-generated or received traffic and give priority to delay-sensitive traffic with respect to channel access and packet scheduling. Simulations are performed in order to assess the performance of these schemes in terms of end-to-end delay, energy consumption, packet delivery ratio, …

Multicast transmissionbusiness.industryNetwork packetFIFO (computing and electronics)Computer scienceQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS05 social sciences050801 communication & media studies020206 networking & telecommunications02 engineering and technologyEnergy consumptionTask (computing)0508 media and communications0202 electrical engineering electronic engineering information engineeringbusinessWireless sensor networkComputer networkCommunication channel2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
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Reducing Overhearing Energy in Wake-Up Radio-Enabled WPANs: Scheme and Performance

2018

Wake-up Radio (WuR)-enabled wireless personal area networks (WPANs) are more popular over conventional WPANs thanks to WuR's on-demand transmission feature and overwhelming energy consumption superiority. In a WuRenabled WPAN, overhearing occurs when a wake-up receiver decodes and validates the address of a wake-up call which is not intended to it. However, such overhearing consumes a portion of the required reception energy for unintended nodes. To diminish overhearing thus conserve total reception energy in a network, we propose a bit-by-bit address decoding (BBAD) scheme and compare it with another addressing scheme for WuR that uses a micro-controller unit to decode and match the whole …

Scheme (programming language)Computer sciencebusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS010401 analytical chemistryTestbed020206 networking & telecommunications02 engineering and technologyEnergy consumption01 natural sciences0104 chemical sciencesTransmission (telecommunications)0202 electrical engineering electronic engineering information engineeringWirelessbusinesscomputerEnergy (signal processing)Decoding methodsComputer networkcomputer.programming_language2018 IEEE International Conference on Communications (ICC)
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Energy Efficient Consecutive Packet Transmissions in Receiver-Initiated Wake-Up Radio Enabled WSNs

2018

In wake-up radio (WuR)-enabled wireless sensor networks, data communication among nodes is triggered in an on-demand manner, by either a sender or a receiver. For receiver-initiated WuR (RI-WuR), a receiving node wakes up sending nodes through a wake-up call. Correspondingly sending nodes transmit packets in a traditional way by competing with one another multiple times in a single operational cycle. In this paper, we propose a receiver-initiated consecutive packet transmission WuR (RI-CPT-WuR) medium access control (MAC) protocol, which eliminates multiple competitions to achieve higher energy efficiency. Furthermore, we develop two associated discrete time Markov chains (DTMCs) for evalua…

Markov chainbusiness.industryNetwork packetComputer scienceReliability (computer networking)Node (networking)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020208 electrical & electronic engineering020206 networking & telecommunicationsThroughput02 engineering and technologyEnergy consumptionCommunications system0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringbusinessInstrumentationWireless sensor networkComputer networkEfficient energy useIEEE Sensors Journal
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Enabling Retransmissions for Achieving Reliable Multicast Communications in WSNs

2016

To ensure end-to-end reliable multicast or broadcast transmissions in IEEE 802.15.4 based wireless sensor networks WSNs) is a challenging task since no retransmission and acknowledgment mechanisms are defined in such WSNs. In this paper, we propose three retransmission enabled multicast transmission schemes in order to achieve reliable packet transmissions in such networks. Different from the legacy CSMA/CA principle, these schemes allow a sending or forwarding node to retransmit a packet if necessary and enable implicit or/and explicit acknowledgment for multicast services. Simulations are performed in order to assess the performance of these schemes in terms of number of retransmissions, …

Multicast transmissionProtocol Independent MulticastMulticastbusiness.industryNetwork packetComputer scienceDistributed computingRetransmissionComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsData_CODINGANDINFORMATIONTHEORY02 engineering and technologyEnergy consumptionKey distribution in wireless sensor networksSource-specific multicastPacket lossReliable multicast0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingXcastbusinessWireless sensor networkPragmatic General MulticastComputer network2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)
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Enabling early sleeping and early data transmission in wake-up radio-enabled IoT networks

2019

Abstract Wireless sensor networks (WSNs) are one of the key enabling technologies for the Internet of things (IoT). In such networks, wake-up radio (WuR) is gaining its popularity thanks to its on-demand transmission feature and overwhelming energy consumption superiority. Despite this advantage, overhearing still occurs when a wake-up receiver decodes the address of a wake-up call (WuC) which is not intended to it, causing a certain amount of extra energy waste in the network. Moreover, long latency may occur due to WuC address decoding since WuCs are transmitted at a very low data rate. In this paper, we propose two schemes, i.e., early sleeping (ES) and early data transmission (EDT), to …

Computer Networks and Communicationsbusiness.industryNetwork packetComputer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSTestbedLatency (audio)020206 networking & telecommunications02 engineering and technologyEnergy consumptionTransmission (telecommunications)0202 electrical engineering electronic engineering information engineeringKey (cryptography)020201 artificial intelligence & image processingbusinessWireless sensor networkVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Computer networkData transmission
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Does Wake-Up Radio Always Consume Lower Energy Than Duty-Cycled Protocols?

2017

Many recent studies anticipate that wake-up radio (WuR) will replace traditional duty-cycled (DC) protocols given its overwhelming performance superiority on energy consumption. Meanwhile, the question on whether WuR performs always better than DC protocols has not been answered explicitly. In this paper, we investigate in-depth the energy consumption performance of WuR by considering various levels of traffic load in a wireless sensor network. By comparing SCM-WuR with both synchronous MAC (S-MAC) and asynchronous MAC (X-MAC), we ascertain that SCM-WuR does consume orders of magnitude lowerenergythanDCprotocolswhentrafficloadislow.Howe ver, our numerical results reveal at the same time that …

Computer sciencebusiness.industrymedia_common.quotation_subject020208 electrical & electronic engineering020206 networking & telecommunications02 engineering and technologyEnergy consumptionWakeSynchronizationOrders of magnitude (bit rate)Asynchronous communicationRange (aeronautics)0202 electrical engineering electronic engineering information engineeringbusinessWireless sensor networkDutymedia_commonComputer network2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)
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Lightweight Relay Selection in Multi-Hop Wake-Up Radio Enabled IoT Networks

2018

Wake-up Radios (WuRs) are becoming more popular in Internet of Things (IoT) networks owing to their overwhelming advantages such as low latency, high energy saving, and on-demand communication. In a multi-hop WuR-IoT network, route establishment between source and destination prior to actual data communications consumes a significant portion of energy. To reduce energy consumption and protocol overhead for route establishment, we propose a lightweight relay (LR) selection scheme, referred to as LR-WuR, where a lookup table and acknowledgment are used for next hop relay selection. We develop an analytical model to evaluate the performance of LR-WuR. Extensive simulations are performed to val…

business.industryComputer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020208 electrical & electronic engineering020206 networking & telecommunications02 engineering and technologyEnergy consumptionWakelaw.inventionHop (networking)Protocol overheadRelaylaw0202 electrical engineering electronic engineering information engineeringbusinessInternet of ThingsComputer network2018 IEEE Global Communications Conference (GLOBECOM)
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Collision Avoidance in Wake-Up Radio Enabled WSNs: Protocol and Performance Evaluation

2018

In wake-up radio (WuR) enabled wireless sensor networks (WSNs), the envisaged application scenarios are primarily targeted at low traffic load conditions. When applying WuR to medium or heavy traffic load scenarios, however, collisions among wake-up calls (WuCs) may happen, resulting in a lower packet delivery ratio (PDR). In this paper, we propose a media access control protocol for WuR- enabled WSN that is capable of avoiding WuC collisions by activating a contention-based collision avoidance mechanism for WuC transmissions. The performance of the proposed protocol is evaluated by a Markov chain based mathematical model and is compared with a WuR protocol that performs only clear channel as…

Markov chainNetwork packetComputer sciencebusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS010401 analytical chemistryMarkov process020206 networking & telecommunicationsThroughput02 engineering and technologyWake01 natural sciences0104 chemical sciencessymbols.namesake0202 electrical engineering electronic engineering information engineeringMedia access controlsymbolsbusinessWireless sensor networkProtocol (object-oriented programming)Collision avoidanceComputer network2018 IEEE International Conference on Communications (ICC)
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Enabling Backoff for SCM Wake-Up Radio: Protocol and Modeling

2017

In sub-carrier modulation (SCM) wake-up radio (WuR) enabled wireless sensor networks, a node can initiate data transmission at any instant of time. In this letter, we propose to activate a backoff procedure before sending wake-up calls (WuCs) in order to avoid potential collisions among WuCs. Consequently, no backoff is needed for the main radio after a WuC is received. A discrete-time Markov chain model is developed to evaluate the performance. Numerical results on network throughput, energy efficiency, average delay, and collision probability reveal the benefits of enabling backoff for SCM-WuRs, especially under heavy traffic loads or saturated traffic conditions.

Exponential backoffMarkov chainbusiness.industryComputer scienceNode (networking)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS010401 analytical chemistryReal-time computing020206 networking & telecommunicationsThroughput02 engineering and technology01 natural sciences0104 chemical sciencesComputer Science ApplicationsModulationModeling and Simulation0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringbusinessWireless sensor networkComputer networkEfficient energy useData transmissionIEEE Communications Letters
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Protocol Design and Performance Evaluation of Wake-up Radio enabled IoT Networks

2019

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