{"_buckets": {"deposit": "d7356beb-f748-430a-bd35-c5413b2485d1"}, "_deposit": {"created_by": 30, "id": "5291", "owner": "30", "owners": [30], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "5291"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5291", "sets": ["user-ytu"]}, "communities": ["ytu"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Energy Efficient Fuzzy C-Means and RED_LEACH Based Clustering Algorithm in Wireless Sensor Networks", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Abstract— The main issue in Wireless Sensor Networks (WSNs) is its lifetime which impacts on various real time applications. One of the leading techniques to increase the lifetime of WSN is dividing the WSN’s nodes into clusters (Clustering). It includes two phases: clusters formation phase and cluster head (CH) selection phase. This paper contributes a hybrid clustering algorithm that combines Fuzzy C-Means (FCM) clustering and RED_LEACH Protocol (Lifetime Improvement of Wireless Sensor Network using Residual Energy and Distance Parameters on LEACH Protocol) features. Fuzzy C-Means clustering is used to make similar sized and optimal clusters at cluster formation phase and RED_LEACH protocol is used to decide the right cluster head (CH) using the parameters: residual energy of each node and distance to base station (BS) which extend the lifetime of the WSN. The proposed clustering algorithm is simulated using Matlab in different scenarios, rounds and number of nodes and its results are compared with the results of LEACH protocol and RED_LEACH protocol in term of sum of energy of nodes against rounds and the number of dead nodes against rounds. The simulation results clearly prove that the lifetime of WSNs is increased by this proposed clustering algorithm over LEACH and RED_LEACH."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Wireless Sensor Networks (WSNs)"}, {"interim": "cluster formation"}, {"interim": "cluster head selection"}, {"interim": "Fuzzy C-Means"}, {"interim": "LEACH"}, {"interim": "RED_LEACH"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-09-08"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Energy Efficient Fuzzy C-Means and RED_LEACH Based Clustering Algorithm in Wireless Sensor Networks .pdf", "filesize": [{"value": "241 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 241000.0, "url": {"url": "https://meral.edu.mm/record/5291/files/Energy Efficient Fuzzy C-Means and RED_LEACH Based Clustering Algorithm in Wireless Sensor Networks .pdf"}, "version_id": "8c1dccb1-a381-401a-8071-d99f91b88003"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "RCCIE", "subitem_c_date": "2019-11-04", "subitem_conference_title": "12th  Regional Conference on Computer and Information Engineering, RCCIE 2019 Vientiane, LAO.", "subitem_place": "Place Vientiane, LAO."}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Tin Aye Chit"}, {"subitem_authors_fullname": "Khine Thin Zar"}, {"subitem_authors_fullname": "Nyein Aye Maung Maung"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2019-11-04"}, "item_title": "Energy Efficient Fuzzy C-Means and RED_LEACH Based Clustering Algorithm in Wireless Sensor Networks", "item_type_id": "21", "owner": "30", "path": ["1596119372420"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005291", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-09-08"}, "publish_date": "2020-09-08", "publish_status": "0", "recid": "5291", "relation": {}, "relation_version_is_last": true, "title": ["Energy Efficient Fuzzy C-Means and RED_LEACH Based Clustering Algorithm in Wireless Sensor Networks"], "weko_shared_id": -1}