Two new algorithms (GFGF1 and GFGF2) for event finding in wireless sensor and robot networks based on the Greedy-Face-Greedy (GFG) routing are proposed in this paper. The purpose of finding the event (reported by sensors) is to allocate the task to the closest robot to act upon the event. Using two scenarios (event in or out of the network) and two topologies (random and random with hole) it is shown that GFGF1 always find the closest robot to the event but with more than twice higher communication cost compared to GFG, especially for the outside of the network scenario. GFGF2 features more than 4 times communication cost reduction compared to GFG but with percentage of finding the closest robot up to 90%.
", "funding": [ { "award": { "acronym": "C4IIoT", "id": "00k4n6c32::833828", "identifiers": [ { "identifier": "https://cordis.europa.eu/projects/833828", "scheme": "url" } ], "number": "833828", "program": "H2020-EU.2.1.1.", "title": { "en": "Cyber security 4.0: protecting the Industrial Internet Of Things" } }, "funder": { "id": "00k4n6c32", "name": "European Commission" } } ], "publication_date": "2019-11-26", "publisher": "Zenodo", "resource_type": { "id": "publication-conferencepaper", "title": { "de": "Konferenzbeitrag", "en": "Conference paper" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "title": "Robot Task Allocation based on Greedy-Face-Greedy Algorithm" }, "parent": { "access": { "owned_by": { "user": "142257" } }, "communities": { "default": "62fd7212-8ef9-45f8-bb3c-73428889cb40", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2021-01-06T12:42:15.226756+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "62fd7212-8ef9-45f8-bb3c-73428889cb40", "links": {}, "metadata": { "curation_policy": "", "page": "The C4IIoT project is funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 833828.
\r\n\r\nC4IIoT will build and demonstrate a novel and unified IIoT cybersecurity framework for malicious and anomalous behavior anticipation, detection, mitigation, and end-user informing. The framework provides a holistic and disruptive security-enabling solution for minimizing attack surfaces in IIoT systems, by exploiting i) emerging security software and hardware protection mechanisms; ii) state of the art machine and deep learning and privacy-aware analytics; iii) novel encrypted network flow analysis; iv) secure-by-design IIoT device fabrication; and v) blockchain technologies, to provide a viable scheme for enabling security and accountability, preserving privacy, enabling reliability and assuring trustworthiness within IIoT applications. The C4IIoT framework will be demonstrated and validated on two carefully selected use cases in real world environments, namely Enabling security IIoT in i) Inbound Logistics and ii) a Smart Factory
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https://www.c4iiot.eu
", "title": "H2020 C4IIoT project - Cyber security 4.0: protecting the Industrial Internet Of Things" }, "revision_id": 0, "slug": "c4iiot", "updated": "2022-06-01T09:38:32.320080+00:00" } ], "ids": [ "62fd7212-8ef9-45f8-bb3c-73428889cb40" ] }, "id": "4420974", "pids": {} }, "pids": { "doi": { "identifier": "10.1109/TELFOR48224.2019.8971163", "provider": "external" }, "oai": { "identifier": "oai:zenodo.org:4420975", "provider": "oai" } }, "revision_id": 7, "stats": { "all_versions": { "data_volume": 99721206.0, "downloads": 162, "unique_downloads": 160, "unique_views": 62, "views": 63 }, "this_version": { "data_volume": 99721206.0, "downloads": 162, "unique_downloads": 160, "unique_views": 62, "views": 63 } }, "status": "published", "swh": {}, "updated": "2024-07-19T10:49:26.329668+00:00", "versions": { "index": 1, "is_latest": true } }