πŸ“ž +91-7667918914 | βœ‰οΈ ijireeice@gmail.com
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2321-2004ISSN Print 2321-5526Since 2013
IJIREEICE meets the suggestive parameters outlined in the latest University Grants Commission (UGC) for peer-reviewed journals, ensuring high standards of research integrity, publication ethics, and academic excellence.
← Back to VOLUME 3, ISSUE 5, MAY 2015

Energy Efficiency Improvement of DWEHC Protocol Using Fuzzy Logic

Komal Bhoite, Pramodkumar Kulkarni

πŸ‘ 1 viewπŸ“₯ 0 downloads
Share: 𝕏 f in ✈ βœ‰
Abstract: The WSN is a specialized wireless network made up of a large number of sensors and at least one base station. The foremost difference between the WSN and the traditional wireless networks is that sensors are extremely sensitive to energy consumption. Energy saving is the crucial issue in designing the wireless sensor networks. Since the radio transmission and reception consumes a lot of energy, one of the important issues in wireless sensor network is the inherent limited battery power within network sense in order to maximize the lifetime of sensor nodes; it is preferable to distribute the energy dissipated throughout the wireless sensor network. In this paper we are aiming to present new energy efficient routing protocol for WSNs. We are going to propose a Extended Distributed Weight-based Energy- efficient Hierarchical Clustering protocol (EDWEHC). Each node first locates its neighbours (in its enclosure region), then calculates its weight which is based on its residual energy and distance to its neighbours. The largest weight node in a neighbourhood may become a clusterhead. Neighbouring nodes will then join the clusterhead hierarchy. The clustering process terminates in O(1) iterations, and does not depend on network topology or size. To improve the energy consumption performance fuzzy logic rules are integrated in DWEHC.

Keywords: Wireless Sensor Networks, Energy Consumption, Fuzzy logic, DWEHC

How to Cite:

[1] Komal Bhoite, Pramodkumar Kulkarni, β€œEnergy Efficiency Improvement of DWEHC Protocol Using Fuzzy Logic,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2015.3517

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.