A QoS aware message scheduling algorithm in Internet of Things environment

Abdullah, Saima; Yang, Kun

doi:10.1109/onlinegreencom.2013.6731048

Cited by 29 publications

(15 citation statements)

References 9 publications

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“…This procedure is repeated until we get overall traffic intensity less than one. The standard waiting amount of time in the queue for each and every kind of message is considered as an indication of system effectiveness [14,15].…”

Section: Responding Periodmentioning

confidence: 99%

Development and Testing of Message Scheduling Middleware Algorithm with SOA for Message Traffic Control in IoT Environment

Gupta¹,

Satyanarayan²,

Shah³

2018

IJIES

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Nowadays, in most of the applications, Internet of Things (IoT) is being used, multiple clients are indirectly connected to sensing devices through messaging broker and their interaction happens through message exchanger. Day by day number of clients and sensing devices are increasing and subsequently message traffic management becoming key research area. In case of overloaded message traffic, IoT broker system faces delayed messaging and so sensor activation and response gets delayed. With this identified problem, present research focused on development of new middleware (broker) architecture for IoT which can handle message queue more efficiently. With changing requirement trends, traditional service-oriented architecture (SOA) model has many architecture design issue. Traditional SOA does not support multiple protocol request communication. Hence, this paper focuses on the design of the message scheduling broker for IoT environment with hybrid protocol routing e.g. Extensible Messaging and Presence Protocol (XMPP), Constrained Application Protocol (CoAP), MQ Telemetry Transport (MQTT) protocols considered like one request and it is filtered by broker based on their calculated priority. Additionally, proposed scheduling algorithm uses priority queue model which is considered as a reference messaging model. Multiple queues model is developed to increase the efficiency of the algorithm. Such middleware provides a solution for message delay issue with multiple protocol request handling. The system is tested for MQTT, XMPP and CoAP message protocols with respect to service time and MQTT protocol performance are found more efficient during IoT sensor test using Apache HIVE testing platform as Apache HIVE is a data warehouse software project for providing data summarization, query and analysis.

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Section: Responding Periodmentioning

confidence: 99%

Development and Testing of Message Scheduling Middleware Algorithm with SOA for Message Traffic Control in IoT Environment

Gupta¹,

Satyanarayan²,

Shah³

2018

IJIES

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“…The downgrade of PA-MAC occurs when the node wants to reserve the resources for periodic traffic, it has to send the request to the network coordinator. Saima and Yun [14] proposed message scheduling with service provisioning technique. This technique classifies traffic into high priority and best effort messages.…”

Section: Related Workmentioning

confidence: 99%

Enhancing the QoS of IoT Networks with Lightweight Security Protocol using Contiki OS

Qushtom¹,

rabayah²

2017

IJCNIS

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“…At long last, it furnishes every hub in the system with now is the ideal time/recurrence plan. S. Abdullah et al [2] proposed a QoS message planning calculation, which is more focused towards administration provisioning with administration separation also proceeding with our past work. Here sensor hubs are isolated in IoT subgroups.…”

Section: Introductionmentioning

confidence: 99%

Packet Scheduling Algorithm for Sensor Network in Smart Cities based on IoT

Mehta¹

2019

IJRASET

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The procedure of task clients' bundles to the pertinent shared asset to understand some execution ensure is assumed parcel planning. Old parcels scheduling plans and topology enhancement techniques aren't suitable for a huge scale IoT-based great matrix. Priorities can be either powerful or static. Static needs are designated amid creation, though powerful needs are assigned contingent upon the conduct of the procedures while in the framework. The reenactment results demonstrate that EARS nearly has no MAC layer impact and shows signs of improvement execution than FCFS, DMP and Multi-Level calculations. ASCENT (Adaptive Self-Configuring sEnsor Networks Topologies) is setting up hubs for steering in the system. ASCENT has the potential for a huge decrease of bundle misfortune and increment in energy effectiveness. Active hubs remain conscious constantly and perform multihop bundle directing, while whatever is left of the hubs stay "passive" and intermittently check in the event that they ought to wind up active. A MinHeap is a Complete Binary Tree, utilized for execution of the priority queue.

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A QoS aware message scheduling algorithm in Internet of Things environment

Cited by 29 publications

References 9 publications

Development and Testing of Message Scheduling Middleware Algorithm with SOA for Message Traffic Control in IoT Environment

Development and Testing of Message Scheduling Middleware Algorithm with SOA for Message Traffic Control in IoT Environment

Enhancing the QoS of IoT Networks with Lightweight Security Protocol using Contiki OS

Packet Scheduling Algorithm for Sensor Network in Smart Cities based on IoT

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