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Vehicular Ad Hoc Network (VANET) adopts or resembles a similar structure of Mobile adhoc network (MANET). VANET using the IEEE 802.11p standard has great potential of achieving objectives of Smart intelligent transport system (SITS) for improving transport and road safety efficiency. To guarantee QoS and provide efficient network performance, a prioritized MAC need to be designed. Many priority based MAC has been designed in recent times to improve the quality of data delivery to end user. However these do not consider the impact of environment and presence of obstacle which affects the signal attenuation at the receiver end and affecting the QoS of channel availability. To address, this work present an obstacle based radio propagation model, obstacle based CEV (City, Expressway and Village) environmental model and a selective MAC to provide QoS for different services. The proposed model efficiency is evaluated in term of throughput achieved per channel, Collison and success packet transmission. To evaluate the adaptive performance of proposed AMAC experiment are conducted under CEV environment and are compared with existing MAC NCCMA. The outcome achieved shows that the proposed model is efficient in term of reducing Collison, improving packet transmission and throughput performance considering two types of services.

Vehicular adhoc network (VANET) adopts or resembles a similar structure of Mobile adhoc network (MANET). The communication in VANET are generally classified into following three categories such as Vehicle to Infrastructure (V2I), Vehicle to Vehicle (V2V) and Hybrid network which is a combination of V2V and V2I network. VANET using the IEEE 802.11p standard has great potential of achieving objectives of Smart intelligent transport system (SITS) for improving transport and road safety efficiency. As more and more services is been provided for V2V based VANET network. It is a challenging task to provide QoS to end user, due to wireless medium that has limited channel availability for transmission. To guarantee QoS and provide efficient network performance, a prioritized MAC need to be designed. Many priority based MAC has been designed in recent times to improve the quality of data delivery to end user. However these do not consider the impact of environment and presence of obstacle which affects the signal attenuation at the receiver end and affecting the QoS of channel availability. To address, this work present an obstacle based radio propagation model, obstacle based CEV (City, Expressway and Village) environmental model and a selective MAC to provide QoS for different services. The proposed model efficiency is evaluated in term of throughput achieved per channel, Collison and success packet transmission. To evaluate the adaptive performance of proposed AMACexperiment are conducted under CEV environment and are compared with existing MAC NCCMA. The outcome achieved shows that the proposed model is efficient in term of reducing Collison, improving packet transmission and throughput performance considering two types of services.

Given a set S of disjoint simple polygons on a bounded 2D-Plane, we studied the problem of finding a set of polygon P, such that stabbing S by segment stabbing region in optimal way. We present a novel approach for solving the convex traversing method in PTIME. Convex traversing is a mechanism of layering continues convex hull extracted from points P. Whenever adding a point in the convex traversing plane, it is necessary to compute the whole convexation again, which contradict the better runtime. We introduce the new notion of dynamic algorithm to reduce the runtime of this problem into LOG-SPACE bounded. Hence output produced at every dynamic modification results only a LOG-SPACE bounded reconstruction. &nbsp

Forests serve a number of ecological purposes including important roles in the water cycle, providing habitat for plant which are most useful in medicines. Deforestation is the conversion of forested areas to non-forest land use such as arable land, urban use, logged area or wasteland. It is a process leading to a temporary or permanent deterioration in the density or structure of vegetation cover or its species composition. Deforestation has been attributed to socio-demographic factors, such as population growth and the political economy of class structure, and specific exploitation activities like growth in population, commercial logging, construction of roads, forest farming, agriculture, fuel wood gathering and other factors. But it is most important to know the factors in destruction of forests like the amount and location, the rate and speed and the causes of deforestation.Data collection techniques for forest inventories range from selecting ground surveys to using topographic maps, remote sensing. The composition and viability of a forest may be determined using a combination of remote sensing images and geographical information system. Classification is a method in which it defines small areas, on the image which are representative of each desired land cover category. The main aim of this paper is to study deforestation factors using data mining techniques to analyze the effects on forests loss are direct or indirect.