Faculty Publications
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Item Multimetrics-based objective function for low-power and lossy networks under mobility(Springer Verlag service@springer.de, 2019) Sanshi, S.; Jaidhar, C.D.Due to the popularity of Low-power and Lossy Networks (LLN), numerous low-power device applications are emerging and driving the need for an efficient routing protocol. Recently, the Internet Engineering Task Force (IETF) standardized the IPv6 Routing Protocol for Low-power and Lossy Networks (RPL). To route the packets, the RPL constructed a Directed Acyclic Graph (DAG) rooted towards the DAG root using the Objective Function (OF). However, the OF supported by the standard RPL did not yield better performance, since it used a single metric. Therefore, an OF based on Multimetrics (MMOF), which combines multiple routing metrics for Static Router Nodes (SRNs) and Mobile Nodes (MNs), has been proposed in this work. From the simulation results, it was observed that the proposed MMOF showed better performance compared with other existing OFs of the RPL. © Springer Nature Singapore Pte Ltd. 2019Item Mobility aware routing protocol based on DIO message for low power and lossy networks(Springer Verlag service@springer.de, 2020) Sanshi, S.; Jaidhar, C.D.Mobility support has become a crucial requirement for many of the Low power and Lossy Networks applications, and designing an efficient mobility aware routing protocol towards this end has become an important research topic. In this paper, a Mobility Aware Routing Protocol for Low power and Lossy Networks (MARPL) that updates the Preferred Parent Node information soon after it receives the DIO message has been proposed. In the proposed approach, the Mobile Node is aware of its mobility and updates the PPN information without waiting for the route expiration time. To measure the effectiveness of the proposed MARPL, simulation works were carried out on a Contiki-based Cooja simulator for different mobility models. The obtained simulation results showed that the proposed MARPL performed better compared with the standard RPL for healthcare applications. © Springer Nature Switzerland AG 2020.