Title :
Energy-Efficient Clustering in IEEE 802.15.4 Wireless Sensor Networks
Author :
Tavakoli, Hamidreza ; Miic, Jelena ; Naderi, Majid ; Miic, Vojislav B.
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
Abstract :
In this paper we discuss about our new clustering algorithm (ALEC) by modeling the CH and non CH nodes during set-up and steady-state phases of the algorithm. We investigate the effects of event sensing reliability and number of clusters on the network lifetime. We also analyze the power consumption and delay overheads of the clustering algorithm. According to the results, energy consumption overhead and delay overhead of ALEC algorithm in worst cases are very low (overhead of power consumption is about 0.06% and overhead of delay is about 0.001%.). The results also show that longer network lifetime can be achieved by both lower values of number of clusters and sensing reliability.
Keywords :
Zigbee; computer network reliability; energy conservation; pattern clustering; wireless sensor networks; ALEC algorithm; CH node; IEEE 802.15.4 wireless sensor network; delay overhead analysis; energy consumption overhead; energy-efficient clustering algorithm; nonCH node; power consumption analysis; reliability; set-up phase algorithm; steady-state phase algorithm; Clustering algorithms; Delays; Energy consumption; IEEE 802.15 Standards; Reliability; Sensors; Steady-state; Adaptive Low-Energy Clustering; IEEE 802.15.4; cluster-headel ection; clustering overhead; network lifetime; sensing reliability; wireless sensor networks;
Conference_Titel :
Distributed Computing Systems Workshops (ICDCSW), 2013 IEEE 33rd International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4799-3247-4
DOI :
10.1109/ICDCSW.2013.17