In Vehicular Ad Hoc Network (VANET), the remote Collision Avoidance (CA) framework issues notice to drivers before they achieve a possibly perilous zone on the street. This paper proposes a systematic model for assessing the execution of crisis informing through remote CA frameworks. In the first place, we use the dichotomized progress demonstrate, the braking model to produce vehicular versatility follows for examination. Second, we infer the likelihood of a backside crash between two vehicles that go in the same course when a sudden occasion happens. Third, we evaluate the likelihood of vehicles neglecting to get the crisis message. The model demonstrates that the quantity of auto crashes every mischance is much higher when a remote CA framework is not utilized. We likewise think that it intriguing that the quantity of auto accidents is not straightforwardly relative to the vehicle thickness when the vehicular versatility follows take after the pace thickness relationship. By coordinating stream hypothesis into VANET examination, our model gives valuable experiences for future smart transportation.

In this current era of communications and networking, The Internet of things plays the main role in the making of smart communication and networking. In this article, we have focused on the literature survey on wireless sensor networks which are energy efficient. Various standard protocols are reviewed along with some enhanced protocols which makes the network energy efficient. The comparison of the standard and enhanced protocols with respect to various applications in wireless sensor networks is thoroughly done in this article. The outcomes of the enhanced protocols are also briefly discussed. For easier analysis to future researchers, a comparative table which lists the enhanced protocols which are compared with standard counterparts along with the factors for energy efficiency of the protocols. This article also comments on the issues and challenges of the protocols which can be further analyzed for making the wireless sensor network more energy efficient.