Research Area:  Internet of Things
The sensor enabled applications coupled with Internet are currently increasing among everyone. Low power and lossy network equipment have diminished memory, energy, and refining resources. In LNN power conservancy and network lifetime improvement are foremost challenges. The high energy depletion, packet loss ratio and increased traffic are due to ineffective route selection. In Internet of Things LLN system, the routing protocol should improvise the network lifetime by enhancing proactive routing method for each node to keep up a functioning way to the sink hub. The synchronization between sinks makes it to know about the network state of nearby sink nodes and uses the occasional course support messages provided by RPL to deal network status with its neighboring sinks. The sinks can formulate a decision to improve overall performance with increased network lifetime. To appraise the performance of projected work regarding network lifetime and packet delivery ratio over traffic load and routing metric, Contiki COOJA simulator is used.
Author(s) Name:  Shreenidhi H.S.; Narayana Swamy Ramaiah
Journal name:  2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy
Publisher name:  IEEE
Paper Link:   https://ieeexplore.ieee.org/document/9212266