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    <name>Review</name>
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              <text>Cross layer design with weighted sum approach for extending device sustainability in smart cities</text>
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              <text>Cross layer design; Device sustainability; Energy efficiency; Internet of things; Routing metrics; Smart cities; Weighted sum approach analysis</text>
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              <text>IoT associates with MEMS technology and various other technologies to connect smart devices globally. Providing reliable interaction between the smart devices and maintaining the battery sustainability of smart devices are the major demand since most of the IoT devices are run by a battery source. Device sustainability is the prime concern in most the IoT applications such as smart cities, e-health, smart grid, etc. Thus, we have come up with a cross layer design that improves the device sustainability and lifetime of the IoT networks in smart cities. In the proposed design, physical layer and data link layer information is utilized by the network layer to explore the energy efficient communication among the IoT devices, since 70% - 80% of device energy is utilized for its communication. Cross-layer design can be an optimal solution to enhance the modalities of the wireless network. The Weighted sum approach is used in the proposed model which is an effective computation method to analyze and identify the routing metrics that are associated with energy efficiency. Based on the routing metric analysis (Table 2) it is found that a particular combination of routing metrics performs effective power utilization (by attaining optimal transmission power) and achieves sustained device lifetime. From the obtained results, it is noticed that the MTPM + ETP + ND routing metric combination outperforms all the other combinations, and designing the cross-layer mechanism with the weighted sum approach computation gives better network performance without compromising the device lifetime. In smart cities applications, the device scalability is huge, since frequent battery replacement is a very difficult task. Therefore, we come up with an efficient network model that is more suitable to maintain device sustainability in smart cities.  2021 Elsevier Ltd</text>
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              <text>P S.; Mathew A.</text>
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              <text>Sustainable Cities and Society, Vol-77</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1016/j.scs.2021.103478" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.scs.2021.103478&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120702468&amp;amp;doi=10.1016%2Fj.scs.2021.103478&amp;amp;partnerID=40&amp;amp;md5=eed1d5b21d10f7942adb31df94a74d1f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120702468&amp;amp;doi=10.1016%2fj.scs.2021.103478&amp;amp;partnerID=40&amp;amp;md5=eed1d5b21d10f7942adb31df94a74d1f&lt;/a&gt;</text>
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              <text>Restricted Access</text>
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              <text>ISSN: 22106707</text>
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              <text>Online</text>
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              <text>P S., ECE Department, School of Engineering and Technology, CHRIST University, India; Mathew A., Civil Department, National Institute of Technology Tiruchirappalli, India</text>
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