{"id":3324,"date":"2022-03-04T11:11:58","date_gmt":"2022-03-04T11:11:58","guid":{"rendered":"https:\/\/deqepub.org\/ejees\/?post_type=journal_article&p=3324"},"modified":"2022-03-04T11:11:58","modified_gmt":"2022-03-04T11:11:58","slug":"development-of-an-intelligent-zigbee-technique-for-improving-the-energy-efficiency-and-link-quality-of-a-wireless-sensor-network","status":"publish","type":"journal_article","link":"https:\/\/deqepub.org\/ejees\/journal_article\/development-of-an-intelligent-zigbee-technique-for-improving-the-energy-efficiency-and-link-quality-of-a-wireless-sensor-network\/","title":{"rendered":"Development of an Intelligent ZigBee Technique for Improving the Energy Efficiency and Link Quality of a Wireless Sensor Network"},"content":{"rendered":"

ABSTRACT<\/strong><\/p>\n

Wireless Sensor Networks are fixed or moving nodes that sense the environment, communicate the gathered information to a receiver through multiple hops. Unfortunately, wireless sensor network dissipate much energy which is costly to the telecommunications service provider. This research aimed at improving the energy efficiency and link quality in wireless sensor networks using an intelligent Zigbee technique. To achieve this objective, the indoor and outdoor environment of Enugu State University of Science and Technology was characterized using four crossbow Telos B sensor nodes, laptop and measuring tapes. A path loss model was developed and the energy consumption characteristics of the environment was determined. The link quality of the characterized environment such as the Received Signal Strength Indicator, Packet Reception Rate and Link Quality Indicator (LQI) was determined using the link quality estimators. Then, an energy-efficient routing algorithm for long-distance infrastructure monitory was developed and evaluated using Opnet modeler, Castalia and Proteus. Also, a smart ZigBee technique was developed to enhance the link quality, maximize the energy longevity of a wireless sensor network. The Network system performance was verified using Simulink. The result showed that the smart ZigBee technique resulted in a longer network lifetime of about 1.8 times that of existing Low energy algorithm consumption hierarchy (LEACH) and 1.25 times of Collection tree algorithm (CTA). Also, its received signal strength threshold was exceptional and it achieved better throughput than LEACH and CTA.<\/p>\n

Keywords:<\/strong> Wireless Sensor Network, ZigBee Technique, Packet Reception Rate, Link Quality Indicator, Received Signal Strength Indicator, Energy Consumption<\/em><\/p>\n

Authorship<\/strong>
\nOnoh, G. N.; Arinze, S. N. and Offia, I. S. | Full PDF<\/strong><\/a><\/p>\n","protected":false},"author":1,"template":"","journal_article_cats":[166],"class_list":["post-3324","journal_article","type-journal_article","status-publish","hentry","journal_article_cat-vol-6-no-1"],"yoast_head":"\nDevelopment of an Intelligent ZigBee Technique for Improving the Energy Efficiency and Link Quality of a Wireless Sensor Network - European Journal of Engineering and Environmental Sciences<\/title>\n<meta name=\"description\" content=\"wireless Sensor Networks are fixed or moving nodes that sense the environment, communicate the gathered information to a receiver through multiple hops. 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