# Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks
## 1 Introduction
Nevertheless, this protocol leads to the multi-broadcast storm issue and the performance of the network gradually deteriorates, particularly in scenarios with a high density. Distance-based protocols are the routing protocols that use geographical data for enhancing the performance of the data rebroadcasting in the network. There are several types of research that have been conducted for VANETs. In Reference [13], the authors suggested a Message Suppression Controller (MSC) technique for V2I and V2V communications. They dynamically control message suppression by considering some parameters; however, to calculate the time amount of message suppression, a fixed parameter is still used. Furthermore, to solve this fixed parameter problem authors suggested an Enhanced Message Suppression Controller (EMSC) [14] for (V-DTN) Vehicular-DTN the Enhanced Message Suppression Controller (EMSC) is an extended version of Message Suppression Controller (MSC) [15], which can be beneficial for different network criteria. However, the reliability and security in VANETs is very primary element to avoid unauthorized agents who may interrupt the road safety system of VANETs framework. Various researchers analyzed the disruption of traffic flows and road safety and have based their research on this serious issue. Cluster head can support in recognizing malevolent vehicles and moderate their impact by negating them to access cluster resources). Safety and security of the messages could be achieved by authentication vehicles in communication range of Road Side Unit (RSU) can be combined into one cluster to make the authentication process faster and a head cluster is used to verify that all the vehicles of Road Side Unit (RSU) available into the same cluster. Cluster formation in dynamic-VANET (D-VANETs) and head cluster selection mechanism play a very important role. We propose a method to compute the complexity of head cluster selection base on the following parameters: (i) direction of vehicle, (ii) degree of connectivity, (iii) an entropy threshold computed from the mobility of devices (nodes) in network, and (iv) level of distrust calculated based on the node's reliability, vehicles are allocated verifiers who are neighbors with having minimum distrust value. The verifiers used to pursue the vehicle's network control and ensure whether or not it is routing packets, advertising mobility by comparing the data of traffic messages with the verifier's neighborhood. The distrust value of devices (nodes) who act unsatisfactory is then increasing continuously; however, those nodes who perform reliably decrease continuously. Thorough this mechanism the reliability of a node is computed for the selection of head cluster process. Fuzzy logic is a primary method of reasoning logic which results approximate rather than fixed and exact. Fuzzy logic is very important in real life also it inherit facts that most modes of human reasoning and sense of common reasoning are the approximate in nature. Fuzzy logic also uses variables in linguistic nature to define the parameters. A simple expression written in linguistic can describe the understanding of a very difficult problems. The further advancement of this paper is as follows:  
(i) We propose a new mechanism for broadcasting data in VANETs based on few expectations, and it is very easy to implement in distributed approach. (ii) We also compare our method with different research in the literature based [7; 8; 9] on a connected cover set that helps to optimize the near-optimality, Time to Live (TTL), overhead, and aggregation of suggest method. (iii) The Contention-Based-Forwarding (CBF) method is also compared with proposed, which is also standardized by European Telecommunications Standards Institute (ETSI) bodies, with name evolution as Energy-Efficient Fuzzy Management (EEFM) with IoT in VANET of proposed method is measured much better in terms of capability and to minimize the quantity of involved vehicle nodes.