Using Complex Networks Metrics to Mitigate the Broadcast Storm Problem The broadcast storm problem is characterized by unwanted packet retransmission, causing frequent flooding, contention, and collisions that compromise network performance. This paper presents a new vehicular message dissemination protocol named CNvP (Complex Network vehicular Protocol). It is based on the observation and analysis of complex network metrics. In order to mitigate the sending of unnecessary messages, the present work combines probabilistic and delay approaches together with a better knowledge of the network, in particular, the neighboring vehicles of a certain transmitter. Once the three best relays have been chosen by probabilistic calculation, the waiting intervals are estimated, for each retransmission, in order to avoid packet flooding. The analysis of the simulation results shows that the solution developed allows a more assertive decision, thus mitigating the problem of broadcast storm.

A Novel Protocol for Information Dissemination in Vehicular Networks The Vehicular Ad Hoc Networks (VANETs) are rapidly emerging as we are moving towards autonomous and selfdriving vehicles. Network hardware efficiency is growing day by day. However, optimal algorithms play a vital role in the effective utilization of the network. The need for supporting algorithm is vital. Cooperative network behavior is highly suitable for VANETs in comparison to infrastructurebased networks. The cooperation for active information exchange between vehicles is a prime requirement to provide safe, secure, and smoother experience on roads. Broadcasting is always the best way to disseminate information among all neighboring nodes in this kind of networks. However, broadcasting in VANET has multiple issues such as broadcast storm problem, network partition problem, network contention. The benefits of broadcasting inspire the presented research work and propose a solution as Priority Based Efficient Information Dissemination Protocol (PBEID). The work utilizes probabilitybased and densitybased information dissemination using conventional broadcasting. The work has been compared with popular techniques for information dissemination and has been statistically proven significant.