{"id":{"repo_id":"uthm","oai_identifier":"oai:eprints.uthm.edu.my:386"},"canonical_url":"https://search.dev.ndltd.org/etd/uthm/oai:eprints.uthm.edu.my:386","repository":{"repo_id":"uthm","name":"Universiti Tun Hussein Onn Malaysia","base_url":"http://eprints.uthm.edu.my/cgi/oai2"},"display":{"title":"Dynamic duty cycle mechnism for mobility in wirless sensor networks","abstract":"Appeared in previous years to connect the physical environments with the digital world Wireless sensing networks (WSN). There are several small sensor units through which small devices are created in which WSN is configured and can sense the physical environment properties such as heat, pressure, light, soil formation, location, and others. Physical environment properties. Through receivers and transmitters, the sensor nodes send the data hop by hopto the sink node or base station, and these devices have a short-range and a very low frequency. Through a very precise complement, the sensors are small size but at the same time contain sensors as well as radio transmitters and receivers with microprocessors that can implement local data processing that done as well as operate networks using. Besides,through a wireless medium that has been Sensing the data of the wireless transceiver in the process of transmitting and receiving data that will take place in the network.The increased demand for mobility within different applications raises the increasing question about power consumption and how to reduce itin nodes of the WSN. An example of these applications is the application of environmental monitoring, medical observation, and automation of home and this is why wireless sensor networks (WSN) usually consist of a fixed node. The aim of this project is to design a dynamic duty cycle mechanism for mobility as well as fixed nodes within wireless sensor networks through a Contiki simulator through which power consumption, Packet Delivery Ratio (PDR) and duty cycle aremeasured by nodes under the mobility and fixed condition. Done through two diverse scenarios that are the sink and the sensor nodes fixed, and the sink nodes and the nodes are the mobility that occurs. We analyze the performance of the mechanism that will be produced by Contiki on three different measures: Excel extracts PDR, power consumption and duty cycle, to reduce power consumption and these percentages.","abstract_html":"Appeared in previous years to connect the physical environments with the digital world Wireless sensing networks (WSN). There are several small sensor units through which small devices are created in which WSN is configured and can sense the physical environment properties such as heat, pressure, light, soil formation, location, and others. Physical environment properties. Through receivers and transmitters, the sensor nodes send the data hop by hopto the sink node or base station, and these devices have a short-range and a very low frequency. Through a very precise complement, the sensors are small size but at the same time contain sensors as well as radio transmitters and receivers with microprocessors that can implement local data processing that done as well as operate networks using. Besides,through a wireless medium that has been Sensing the data of the wireless transceiver in the process of transmitting and receiving data that will take place in the network.The increased demand for mobility within different applications raises the increasing question about power consumption and how to reduce itin nodes of the WSN. An example of these applications is the application of environmental monitoring, medical observation, and automation of home and this is why wireless sensor networks (WSN) usually consist of a fixed node. The aim of this project is to design a dynamic duty cycle mechanism for mobility as well as fixed nodes within wireless sensor networks through a Contiki simulator through which power consumption, Packet Delivery Ratio (PDR) and duty cycle aremeasured by nodes under the mobility and fixed condition. Done through two diverse scenarios that are the sink and the sensor nodes fixed, and the sink nodes and the nodes are the mobility that occurs. We analyze the performance of the mechanism that will be produced by Contiki on three different measures: Excel extracts PDR, power consumption and duty cycle, to reduce power consumption and these percentages.","abstract_has_math":false,"creators":["Jasim, Hussein Ali"],"institution":"Universiti Tun Hussein Onn Malaysia","degree_name":"mphil","degree_level":"masters","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-01","date_published":"2020-01","updated_at":"2026-07-24T05:47:49Z","subjects":["TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Jasim, Hussein Ali"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-01"]},{"key":"dc:date.issued","label":"Date","values":["2020-01"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Fakulti Kejuruteraan Elektrik dan Elektronik"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["Universiti Tun Hussein Onn Malaysia"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["http://eprints.uthm.edu.my/386/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["mphil"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://eprints.uthm.edu.my/386/1/24p%20HUSSEIN%20ALI%20JASIM.pdf","http://eprints.uthm.edu.my/386/2/HUSSEIN%20ALI%20JASIM%20COPYRIGHT%20DECLARATION.pdf","http://eprints.uthm.edu.my/386/3/HUSSEIN%20ALI%20JASIM%20WATERMARK.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Appeared in previous years to connect the physical environments with the digital world Wireless sensing networks (WSN). There are several small sensor units through which small devices are created in which WSN is configured and can sense the physical environment properties such as heat, pressure, light, soil formation, location, and others. Physical environment properties. Through receivers and transmitters, the sensor nodes send the data hop by hopto the sink node or base station, and these devices have a short-range and a very low frequency. Through a very precise complement, the sensors are small size but at the same time contain sensors as well as radio transmitters and receivers with microprocessors that can implement local data processing that done as well as operate networks using. Besides,through a wireless medium that has been Sensing the data of the wireless transceiver in the process of transmitting and receiving data that will take place in the network.The increased demand for mobility within different applications raises the increasing question about power consumption and how to reduce itin nodes of the WSN. An example of these applications is the application of environmental monitoring, medical observation, and automation of home and this is why wireless sensor networks (WSN) usually consist of a fixed node. The aim of this project is to design a dynamic duty cycle mechanism for mobility as well as fixed nodes within wireless sensor networks through a Contiki simulator through which power consumption, Packet Delivery Ratio (PDR) and duty cycle aremeasured by nodes under the mobility and fixed condition. Done through two diverse scenarios that are the sink and the sensor nodes fixed, and the sink nodes and the nodes are the mobility that occurs. We analyze the performance of the mechanism that will be produced by Contiki on three different measures: Excel extracts PDR, power consumption and duty cycle, to reduce power consumption and these percentages."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["Dynamic duty cycle mechnism for mobility in wirless sensor networks"]}]}],"canonical_facts":{"dc:creator":["Jasim, Hussein Ali"],"dc:date":["2020-01"],"dc:date.issued":["2020-01"],"dc:description.abstract":["Appeared in previous years to connect the physical environments with the digital world Wireless sensing networks (WSN). There are several small sensor units through which small devices are created in which WSN is configured and can sense the physical environment properties such as heat, pressure, light, soil formation, location, and others. Physical environment properties. Through receivers and transmitters, the sensor nodes send the data hop by hopto the sink node or base station, and these devices have a short-range and a very low frequency. Through a very precise complement, the sensors are small size but at the same time contain sensors as well as radio transmitters and receivers with microprocessors that can implement local data processing that done as well as operate networks using. Besides,through a wireless medium that has been Sensing the data of the wireless transceiver in the process of transmitting and receiving data that will take place in the network.The increased demand for mobility within different applications raises the increasing question about power consumption and how to reduce itin nodes of the WSN. An example of these applications is the application of environmental monitoring, medical observation, and automation of home and this is why wireless sensor networks (WSN) usually consist of a fixed node. The aim of this project is to design a dynamic duty cycle mechanism for mobility as well as fixed nodes within wireless sensor networks through a Contiki simulator through which power consumption, Packet Delivery Ratio (PDR) and duty cycle aremeasured by nodes under the mobility and fixed condition. Done through two diverse scenarios that are the sink and the sensor nodes fixed, and the sink nodes and the nodes are the mobility that occurs. We analyze the performance of the mechanism that will be produced by Contiki on three different measures: Excel extracts PDR, power consumption and duty cycle, to reduce power consumption and these percentages."],"dc:format":["text"],"dc:identifier.uri":["http://eprints.uthm.edu.my/386/1/24p%20HUSSEIN%20ALI%20JASIM.pdf","http://eprints.uthm.edu.my/386/2/HUSSEIN%20ALI%20JASIM%20COPYRIGHT%20DECLARATION.pdf","http://eprints.uthm.edu.my/386/3/HUSSEIN%20ALI%20JASIM%20WATERMARK.pdf"],"dc:language":["en"],"dc:publisher.department":["Fakulti Kejuruteraan Elektrik dan Elektronik"],"dc:publisher.institution":["Universiti Tun Hussein Onn Malaysia"],"dc:relation.isreferencedby":["http://eprints.uthm.edu.my/386/"],"dc:subject":["TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television"],"dc:title":["Dynamic duty cycle mechnism for mobility in wirless sensor networks"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["masters"],"dc:type.qualificationname":["mphil"]},"updated_at":"2026-07-24T05:47:49Z"}