LQOR: Link Quality-Oriented Route Selection on Internet of Things Networks for Green Computing

Recently, Internet of Things (IoT) has witnessed significant attention due to its potential of interconnecting massive number of heterogeneous sensor nodes to collect big data for harnessing knowledge thus enabling real time monitoring, actuation and control. The wireless sensors relay their packets on to the base station via multi-hop transmissions and the overall functioning of the system, therefore, is dependent on these intermediate nodes. However, unbalanced data forward amongst the nodes results in high-energy consumption and packets drop. The network lifetime and link reliability are the most important factors for the network to work for longer period of time, hence optimum selection of the paths for packet routing is key for prolonged network life. This paper proposes a link quality-oriented route (LQOR) protocol for scalable IoT networks. The main goal of this scheme is to balance the network load by intelligently selecting the next hop with less number of neighbouring nodes. The comparative performance evaluation corroborates the positive impact of the algorithm as compared to other related techniques existing in the literature. We show that the proposed algorithm achieves less packets loss and average number of paths, minimizing data retransmissions. This effectively improves the overall system performance and elongates the network lifetime.

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