Abstract
Internet of Things (IoT) is the fast- growing technology, mostly used in smart mobile devices such as notebooks, tablets, personal digital assistants (PDA), smartphones, etc. Due to its dynamic nature and the limited battery power of the IoT enabled smart mobile nodes, the communication links between intermediate relay nodes may fail frequently, thus affecting the routing performance of the network and also the availability of the nodes. Existing algorithm does not concentrate about communication links and battery power/energy, but these node links are a very important factor for improving the quality of routing in IoT. In this paper, Context-aware Energy Conserving Algorithm for routing (CECA) was proposed which employs QoS routing metrics like Inter-Meeting Time and residual energy and has been applied to IoT enabled smart mobile devices using different technologies with different microcontroller which resulted in an increased network lifetime, throughput and reduced control overhead and the end to end delay. Simulation results show that, with respect to the speed of the mobile nodes from 2 to 10m/s, CECA increases the network lifetime, thereby increasing the average residual energy by 11.1% and increasing throughput there by reduces the average end to end delay by 14.1% over the Energy-Efficient Probabilistic Routing (EEPR) algorithm. With respect to the number of nodes increases from 10 to 100 nodes, CECA algorithms increase the average residual energy by16.1 % reduces the average end to end delay by 15.9% and control overhead by 23.7% over the existing EEPR.
Highlights
Internet of Things (IoT) is the emerging technology in day-to-day life due to their improved use in the ubiquity of smart mobile devices such as notebooks, smartphones, tablets, various personal digital assistantsetc., [1]
That context-aware energy conserving algorithm [2,3] has been applied to the IoT enabled smart mobile devices using different technology, which in turn involves mobile nodes connected with wired and wireless networks
Since the uniform mobility model is simple when compared to the random way point mobility model, the present work has been evaluated only with random waypoint mobility model
Summary
Internet of Things (IoT) is the emerging technology in day-to-day life due to their improved use in the ubiquity of smart mobile devices such as notebooks, smartphones, tablets, various personal digital assistantsetc., [1]. By using IoT enabled network things (i.e.) "connected anywhere at any time”, it could be possible to create a digital world. That context-aware energy conserving algorithm [2,3] has been applied to the IoT enabled smart mobile devices using different technology, which in turn involves mobile nodes connected with wired and wireless networks. Efficient smart mobile devices or nodes detection and routing systems are a major challenge task because of its mobility and energy consumption behavior. IoT enabled mobile users links are important factors in enhancing the quality of communication
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