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Design Energy Efficient SMAC Protocol for Wireless Sensor Networks using Neighbour Discovery Scheduling Algorithm

Journal: International Journal of Trend in Scientific Research and Development (Vol.2, No. 4)

Publication Date:

Authors : ;

Page : 2215-2222

Keywords : Wireless Sensor Network (WSN); Media Access Control (MAC); Sensor-MAC (SMAC); Energy Efficient SMAC (EE-SMAC); Idle Listening; Collision; Overhearing;

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Abstract

Wireless sensor networks have recently attracted much attention from research. This project reviews the medium access control (MAC), which is a capable technology in wireless sensor networks called SMAC (Sensor-MAC). MAC protocols control how sensors reach a shared communication channel to communicate with neighbors in small area coverage. SMAC sets the protocol nodes to sleep during the transmission of other nodes. During this large amount of time waste in the data communication process, the neighbor node has to wait till the nodes get started. Also, many packets are lost when all the nodes send the data packet simultaneously to a single node and this leads to data loss or corrupt data. In wireless sensor network the efficient use of energy leads to enhance the network lifetime. Idle listening, collision, control overhead and over hearing are the main reasons of energy waste in SMAC protocols. Thus, to conserve energy and enhance network lifetime we propose a new contention-based Energy Efficient SMAC protocol called EE-SMAC for wireless sensor networks. Chanchal Sahu | Ashok Kumar Behera | Shankha De"Design Energy Efficient SMAC Protocol for Wireless Sensor Networks using Neighbour Discovery Scheduling Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14610.pdf http://www.ijtsrd.com/engineering/computer-engineering/14610/design-energy-efficient-smac-protocol-for-wireless-sensor-networks-using-neighbour-discovery-scheduling-algorithm/chanchal-sahu

Last modified: 2018-08-02 15:58:09