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Due to the high mobility of on-board units (OBUs) and the large-scale network topology frequency hopping-based anti-jamming techniques are not applicable in vehicular ad hoc networks (VANETs). In this paper, to improve the communication performance of VANETs against smart jamming, unmanned aerial vehicles (UAVs) are used. These unmanned aerial vehicles observe the ongoing OBU and UAV communication status and induce the UAV to use a specific relay strategy. The UAV relays the OBU message to another roadside unit (RSU) with a better radio transmission condition if the serving RSU is heavily jammed or interfered. The interactions between a UAV and a smart jammer are formulated using an anti-jamming UAV relay game. The UAV decides whether or not to relay the OBU message to another RSU based on the relay game, the jammer observes the UAV and the VANET strategy it chooses the jamming power accordingly. The proposed relay strategy can reduce the bit-error rate of the OBU message efficiently and increasing the benefit of the VANET Using Q-learning analysis.

Wireless Sensor Network is easy to configure and deployment of network is also simple. It is very useful in gathering the information. As sensor device are small in size and it is operated by the battery which once die is not rechargeable, so minimizing energy consumption and node death rate is challenging issues in WSN. Once node die it can’t take part in information gathering which is not good for the overall system performance. Making cluster is a way to reduce the energy consumption in WSN by making cluster head which only communicate with base station and rest of the node communicate with cluster head, because distance is major factor for energy consumption in transmission of data. Wireless Sensor Network need more improvement and hence proposed intra and inter-cluster communication with sleep/active rate of node in WSN. Author establish a tradeoff between active node and energy consumption because if more node in sleep state then for achieving the target packet failure probability or error free communication all node take more energy take part in Sub-cluster head communication or more hop-distance communication with more energy. Result in terms of network life time, energy consumption, node decay rate and communication overhead shows that presented work performed well when compare with existing technique.

Next-generation wireless environment depends on the multiple networks supported by different operators for various applications. In this heterogeneous environment, users can connect to various radio access networks and have seamless connectivity. Network selection plays a vital role for the users to connect to the best access network available because each access network differs in bandwidth, cost, energy usage, and coverage area. In this paper, an access network selection method to select the best suitable network is proposed. Game theoretic approaches are used for the strategy between the user and network to form cooperation so that users can get better QoS at a reasonable cost and each access network can increase their revenue.

Wireless Sensor Networks (WSNs) consist of a large number of low-cost, low-power and intelligent sensor nodes and one or more sinks or base stations. Those nodes are small in size and can perform many important functions, including event sensing, information processing, and data communication. WSNs can be employed in wide military applications and civilian scenarios. Sensing the signal and transmission of those signal require lots of energy which reduces the life time of sensor node, which affects the overall network life time. So for saving the energy a better mechanism is required which can improve the overall network life time. Many research works are going in this field for improving the network life time. For Energy saving a large network is divided in to some cluster from one hop to another hop, where a hop contains a Cluster Head (CH) which is chosen by the Base Station (BS) and a Cluster Member (CM), which can communicate with CH. Clusters, can save the energy due to less distance communication factor. CH communicates with BS. LEACH (Low Energy Adaptive Clustering Hierarchy) is very popular clustering mechanism, but it also has some draw backs. So a better mechanism for energy saving and to improve the life time of network is needed. Here author proposed a new idea called Mutual relay node clustering protocol. Here author analyses the network life time in terms of number of rounds and overall energy consumption and compare with currently existing Leach protocol.

WSN considering clustering mechanism for optimization of energy is very popular among the researchers here also author used clustering mechanism in densely deployed sensor network. Intra cluster and inter-cluster communication is considered, for large distance communication relay nodes are used to reduce the energy consumption. A tradeoff between node density and sleep/active nodes are establish, sleep nodes concept in WSN is useful in reduced the overall energy consumption. Result obtained in terms of node decay rate, network life time, and percentage of active nodes shows that our proposed model for Wireless sensor network based on nodes sleep/active concept is better when compared with existing system.

In Wireless Sensor Network cluster making techniques is proved as energy efficient as compare to normal WSN mechanism. WSN contain small sensor nodes power by battery and do the work of sensing and processing of that senses signal. These tiny sensor node consume lots of energy in sensing and then transmission of signal. By the used of clustering method where each individual node not to direct communicate with base station it send data to the cluster head. Data received by the cluster head send to the base station. So sensor nodes can store their energy to avoid large distance communication because in large distance communication large-scale path loss is considered. In some scenario may be one cluster is far from base station in that case cluster head require lots of energy for communication. Transmitted packet some time not decoded properly and loss so here analyses the packet failure probability in both type of communication. Here author used the intra and inter-cluster communication mechanism and find overall energy consumption, network life time and node decay rates. Obtained result is compare with existing "SongtaoGuo"system [12].

In Mobile Adhoc Networks (MANETs) interferences diminish the network performances such as data failure, retransmission, conflict and delay. Hence, interferences are main factors that affect the network performances. Sinking interferences on the routing paths are crucial problem to enhance performances of the networks. Here, we proposed a protocol called Link-Disjoint Interference Aware (LDIA) QoS Routing Protocol based on MARIA Protocol. The capacity of networks in rigorously affects by interferences among links and numerous efforts to representation this effects make use of ‘Cliques’ structure in adhoc graphs. Here, we compared this simulation results in NS2 and analysis made for LDIA QoS Routing protocol and QoS Aware Routing Protocol (QoSAR).

The concept behind the next generation wireless networks is the coexistence of different radio access networks aimed for integration of different set of technologies. In turn these networks will have various kinds of parameters like Jitter, Delay, Bandwidth, Area of Coverage and Power Consumption etc., which in turn impose new challenges on mobility management. The goal of next generation network is to give users a great flexibility to have access to desired services from different available networks on the basis of anywhere, anytime services with a principle called Always Best Connected (ABC). The contribution of this work is the design of network selection mechanism based on the user preference, network parameters with the implementation of sub layer fuzzy logic controller concept in a heterogeneous environment to select a network for desired running applications.