A Green Routing Algorithm for IoT-Enabled Software Defined Wireless Sensor Network

Rapid growth in the domain of Internet of Things (IoT) leads to massive deployment of sensors and therefore the need to develop automatically reconfigurable complex wireless sensor network. Software defined networking (SDN) is a promising and widely adopted technique to automatic reconfigure the wir...

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Vydané v:IEEE sensors journal Ročník 18; číslo 22; s. 9449 - 9460
Hlavní autori: Kumar, Neetesh, Vidyarthi, Deo Prakash
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 15.11.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Adaptive algorithms
Automatic control
Clustering
Clustering algorithms
Energy consumption
Energy transmission
green routing
Intelligent sensors
Internet of Things
IoT
Nodes
Packet transmission
Particle swarm optimization
PSO
Rechargeable batteries
Remote sensors
Residual energy
Routing
Sensors
Software
software defined wireless sensor network (SDWSN)
Software-defined networking
State of the art
Wireless networks
Wireless sensor network (WSN)
Wireless sensor networks
ISSN:1530-437X, 1558-1748
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Popis
Shrnutí:Rapid growth in the domain of Internet of Things (IoT) leads to massive deployment of sensors and therefore the need to develop automatically reconfigurable complex wireless sensor network. Software defined networking (SDN) is a promising and widely adopted technique to automatic reconfigure the wireless sensor network. In SDN, control nodes are dynamically selected (to activate the functioning of the sensor network) in order to assign the tasks to other nodes and for routing data packets to control server. For residual energy of sensor nodes, and transmission distance among sensor nodes, the problem of control node selection has been formulated as an NP-hard problem. Usually, smart sensing devices of IoT suffers from low battery which are not frequently rechargeable. Therefore, an energy efficient routing mechanism is required to operate software defined wireless sensor network (SDWSN). In this paper, a green routing algorithm using fork and join adaptive particle swarm optimization (FJAPSO) is proposed to maximize the lifetime of sensor network. FJAPSO acts at two levels for auto optimization: optimal number of control nodes and optimal clustering of control nodes. Experimental results evidenced that FJAPSO outperforms other state of the art and significantly maximizes the lifetime of the sensor network.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2018.2869629