DocumentCode :
117798
Title :
Analytical energy consumption model for MAC protocols in wireless sensor networks
Author :
Ram, Mahendra ; Kumar, Sudhakar
Author_Institution :
Sch. of Comput. & Syst. Sci., Jawaharlal Nehru Univ., New Delhi, India
fYear :
2014
fDate :
20-21 Feb. 2014
Firstpage :
444
Lastpage :
447
Abstract :
Since sensor nodes are powered by battery and in most situations, they are deployed in a hostile environment, where it is very difficult to change or recharge their batteries in Wireless Sensor Networks (WSNs). So energy efficiency is a central challenge in WSNs. The radio is a major contributor to overall energy consumption of nodes. Due to limited energy supplies, reducing energy consumption is an important goal in WSNs. In this paper, a mathematical energy model to evaluate the energy consumption, based on current traffic conditions is presented. We analyzed the performance of different Medium Access Control (MAC) protocols IEEE 802.15.4, and Data-Gathering Medium Access Control (DMAC) with Radio Frequency Identification (RFID) Impulse using the proposed mathematical energy model under variable data rates. Analytical results show that RFID Impulse gives lower energy consumption in comparison of IEEE 802.15.4 and D-MAC in low traffic scenario.
Keywords :
IEEE standards; Zigbee; access protocols; energy conservation; energy consumption; radiofrequency identification; telecommunication power management; telecommunication traffic; wireless sensor networks; IEEE 802.15.4; MAC protocols; RFID; WSN; analytical energy consumption model; battery; data-gathering medium access control; energy efficienc; energy supplies; mathematical energy model; medium access control protocols; nodes energy consumption; radio frequency identification; sensor nodes; wireless sensor networks; Energy consumption; Equations; Mathematical model; Media Access Protocol; Radiofrequency identification; Wireless sensor networks; Adaptive; Energy model; MAC protocols; RFID; Sleep mode; WSNs; Wake-radio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Integrated Networks (SPIN), 2014 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-2865-1
Type :
conf
DOI :
10.1109/SPIN.2014.6776994
Filename :
6776994
Link To Document :
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