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Internet of Things (IoT) is with a perception of ‘anything’, ‘anywhere’ and provides the interconnection among devices with a remarkable scale and speed. The prevalent intention of IoT is the datatransmission through the internet without the mediation of humans. An efficient routing protocol must be included in the IoT network for the accomplishment of its objectives and securing data transmission. Accordingly, the survey presents various routing protocols for secure data communication in IoT for providing a clear vision as the major issue in the IoT networks is energy consumption. Therefore, there is a need for devising an effective routing scheme to provide superior performance over the other existing schemes in terms of energy consumption. Thus, this review article provides a detailed review of 52 research papers presenting the suggested routing protocols based on the contentbased, clustering-based, fuzzy-based, Routing Protocol for Low power and Lossy Networks, tree-based and so on. Also, a detailed analysis and discussion are made by concerning the parameters, simulation tool, and year of publication, network size, evaluation metrics, and utilized protocols. Finally, the research gaps and issues of various conventional routing protocols are presented for extending the researchers towards a better contribution of routing protocol for the secure IoT routing.

This paper proposes an energy-aware multicast routing protocol (MRP) based on the optimization algorithm named iterative Crow Whale-Energy Trust routing (iterative CrowWhale-ETR). The CrowWhale-ETR is developed by including the historical terms from Taylor series in the CrowWhale optimization algorithm. Initially, the effective nodes for the multicast routing process are considered by measuring the trust and energy level of nodes. Based on the fitness factor, the protected nodes are selected relies on the trust and energy level of individual nodes. Once the secure nodes are selected, route detection and route selection is performed based on iterative CrowWhale-ETR. Finally, the route maintenance is done as per the remaining energy and trust factors of the nodes in the network. The comparative analysis of developed iterative CrowWhale-ETR is performed with the evaluation metrics, like energy, delay, throughput and detection rate using 50 and 100 nodes in the presence as well as absence of attacks.

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The proposed intelligent lighting system can optimize energy uses with integrated sensors and controllers. The main control is designed using a various sensors which collects the relevant data for management and maintenance of the lamp. ZigBee and Global Systems for Mobile Communications (GSM) based wireless technologies are used for the wireless communication, also used LED based source of light which gives the additional energy saving . Information is communicated between monitoring station and lamp station by using ZigBee network.Whenever the lamp gets damaged Short Message Service (SMS) is sent by using GSM which makes easy maintenance of lamp. There are three modes of operation of system-day mode, peak mode and intelligent mode. The real time monitoring of lamp can be possible by using GUI at monitoring station which is also used to check power consumption of each lamp. Intelligent LED lighting system targets the energy saving and autonomous operation for the streets, bungalows and farms.

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