{"id":1617,"date":"2022-02-19T22:33:42","date_gmt":"2022-02-20T03:33:42","guid":{"rendered":"https:\/\/carleton.ca\/internetofthings\/?p=1617"},"modified":"2022-04-12T14:20:49","modified_gmt":"2022-04-12T18:20:49","slug":"ieee-internet-of-things-journal-publication-node-embedding-for-security-aware-clustering-of-mobile-information-centric-sensor-networks","status":"publish","type":"post","link":"https:\/\/carleton.ca\/internetofthings\/2022\/ieee-internet-of-things-journal-publication-node-embedding-for-security-aware-clustering-of-mobile-information-centric-sensor-networks\/","title":{"rendered":"IEEE Internet of Things Journal Publication: Node Embedding for Security-Aware Clustering of Mobile Information-Centric Sensor Networks"},"content":{"rendered":"<h2 style=\"text-align: justify;\"><span class=\"authors-info\"><span class=\"blue-tooltip\"><a>Anastassia Gharib<\/a><\/span> and <\/span><span class=\"authors-info\"><span class=\"blue-tooltip\"><a aria-describedby=\"ngb-tooltip-15\">Mohamed Ibnkahla<\/a><\/span><\/span><\/h2>\n<p><\/p>\n<p style=\"text-align: justify;\">In cluster-based Information-Centric Wireless Sensor Networks (ICWSNs), mobile sensor nodes are grouped into clusters in rounds. In each cluster, a Cluster Head (CH) is selected, which collects, aggregates, and forwards locally sensed data to a sink node. CHs further store a copy of data for the round period to act as cache nodes and deliver data to mobile users upon requests. Nevertheless, clustering and securing mobile ICWSNs is challenging. This is because, in addition to sensor nodes\u2019 and users\u2019 mobility, sensor nodes are often resource-constrained. Therefore, clustering and security resource allocation in mobile ICWSNs should be carefully re-designed to ensure efficient ICWSN operation, data security, and timely data access to mobile users. This paper proposes a Node Embedding with Security Resource Allocation (NESRA) clustering algorithm for mobile ICWSNs in rounds. NESRA allocates security resources to sensor nodes based on the location, mobility, and energy resources available in the first step. An optimization problem is formulated to select CHs that maximizes network coverage and minimizes data delivery delay to mobile users in the second step. In the third step, NESRA utilizes network representation learning that embeds sensor nodes\u2019 location, mobility, and expected energy expenditure features into a 2D space to form well-separated clusters of sensing nodes. Compared to existing works, NESRA achieves lower energy consumption, nodes\u2019 death rate, and latency, and allows higher throughput and cache nodes\u2019 utilization with stable data security. Still, NESRA has some challenges to overcome in high-mobility networks.<\/p>\n<p><\/p>\n<p style=\"text-align: justify;\">A. Gharib and M. Ibnkahla, &#8220;Node Embedding for Security-Aware Clustering of Mobile Information-Centric Sensor Networks,&#8221; in IEEE Internet of Things Journal, doi: 10.1109\/JIOT.2022.3152183.<\/p>\n<p><\/p>\n<p style=\"text-align: justify;\">For more details:\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9716049\">IEEE Explorer<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Anastassia Gharib and Mohamed Ibnkahla In cluster-based Information-Centric Wireless Sensor Networks (ICWSNs), mobile sensor nodes are grouped into clusters in rounds. In each cluster, a Cluster Head (CH) is selected, which collects, aggregates, and forwards locally sensed data to a sink node. CHs further store a copy of data for the round period to act [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[62,37,1,38],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>IEEE Internet of 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