UAV‐assisted content‐based sensor search in IoTs. Issue 11 (1st May 2017)

• Record Type: Journal Article
• Authors: Sharma, V.; Kumar, R.; Kaur, R.
• Is Part Of: Electronics letters. Volume 53:Issue 11(2017)
• Page Start: 724
• Page End: 726
• Publication Date: 2017-05-01
• Subjects: autonomous aerial vehicles -- Internet of Things -- data handling -- mobile robots -- telerobotics -- optimisation -- control engineering computing -- aerospace computing; UAV assisted content -- sensor search -- IOT -- Internet of things -- network components -- service applications -- network users -- sensor deployment -- data support -- unmanned aerial vehicles -- optimisation -- radial basis function kernel support vector machine -- cost function -- multiple content queries -- on demand gateways -- dynamic nodes; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2016.3487
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : 'Internet of things' (IoT) operates for all‐time availability of network components to provide a wide range of service applications to the network users or clients. IoT operates for a large number of applications, and one of these include the sensor deployment for data support to clients. However, these sensors require a large number of queries to be handled by the network components considering the constraints of memory, energy, and delays. These issues can be easily tackled by deploying unmanned aerial vehicles (UAVs), which serve as dynamic nodes to handle clients' queries by acting as on‐demand gateways. However, this UAV‐assisted IoT requires efficient localisation to determine the sensor for handling multiple‐content queries, which is considered as a problem. A cost function is formed in the proposed approach to generate an optimisation problem which is resolved using a radial basis function kernel support vector machine. The effectiveness of the proposed approach is demonstrated in terms of significant gains attained in terms of error in the cost function, overheads in handling queries, and accuracy in UAV allocation.