DocumentCode
3168328
Title
Design of an improved energy efficient clustering in M2M communication
Author
Deshpande, Kartik Vishal ; Rajesh, A.
Author_Institution
Sch. of Electron. Eng., VIT Univ., Vellore, India
fYear
2015
fDate
19-20 March 2015
Firstpage
1
Lastpage
6
Abstract
In this paper, we analyse machine to machine (M2M) communication in long term evolution for machine type communication(LTE-M) network. It provides interface for M2M devices to send data to M2M gateways or evolved Node B (eNB). Clustering is an efficient way of gathering data and energy conservation. Here, two existing clustering methods, namely, Low energy adaptive clustering hierarchy (LEACH) and energy aware multi-hop multipath hierarchy (EAMMH)are compared with improved M2M clustering process (IMCP) method. Results show that IMCP performs better than the existing techniques in terms of energy consumption, network life time and number of dead nodes. Assumption is made to use smart metering as one of measuring application in M2M communication.
Keywords
Internet of Things; Long Term Evolution; mobile computing; pattern clustering; power aware computing; statistical analysis; telecommunication power management; EAMMH; Internet of Things; IoT; LEACH; LTE-M network; M2M communication; energy aware multihop multipath hierarchy; long term evolution for machine type communication; low energy adaptive clustering hierarchy; machine to machine communication; Algorithm design and analysis; Clustering algorithms; Cost function; Energy efficiency; Mathematical model; Power demand; Wireless sensor networks; Clustering; Energy; GFDM; LTE-M; M2M;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on
Conference_Location
Nagercoil
Type
conf
DOI
10.1109/ICCPCT.2015.7159254
Filename
7159254
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