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Wireless sensor networks (WSNs) have expanded all boundless regard for the scientists in the fields of information and correspondence propels in the systems administration field. WSNs are broadly utilized as a part of numerous applications like environmental monitoring, forest fire observing, search and save tasks in disaster management and climate checking and so on. To preserve the energy of the sensor node, WSNs are organised into cluster. A reliability and security is necessary for the applications like disaster management and battlefield surveillance. Clustering method conserves energy and increase the network life time. In this paper proposes an inter and intra cluster head selection method which consumes less energy and increase the network lifetime. To achieve the security, we introduce elliptic curve cryptography at the cluster head level. The proposed model is evaluated with the existing protocol like LEACH and LEACH-C. The performance of the proposed model is evaluated by considering the packet delivery ratio, number of sensor nodes (SNs) alive and the average energy dissipation. The analysis of the proposed model shows that it enhances the network life time and energy efficient of the WSN.

Every user has an individual background and a particular aim while searching the information or images on the web. The goal of web search personalization is to retrievce the search results to a particular user depends on that user's preferences. These data allows the users not only to facilitate and share the data, but to afford information and improve media retrieval and management. One such examples is personalized image retrieval where user's explicit information is considered to produce exact images using re-ranking results. In this paper, the Tag-Annotation based approach by Re-ranking (TAD-RR) is proposed to generate personalized images. The basic assertion is to collect the images from the user and store it in a database with appropriate tag and annotation. Thereby, semantic search is developed to compare the query with dictionary to find out the relevant tag name. The images are then found from the database by applying TAD-RR procedures. Finally, page refreshing is handled at the time of image downloading. If a particular image is downloaded, the demand will be increased for that image in the server and the page gets reloaded based on the retrieved image annotation by ranking similarly. The experimental results show that the proposed approach accurately retrieves the personalized images.

Wireless Sensor Network (WSN) is a collection of wireless sensor nodes forming a temporary network without the aid of any established infrastructure or centralized administration. In the recent years many researchers are investigating the routing protocols in WSNs and proposed the different routing schemes based on the network type and protocol operation. It have been witnessed an increasing interest in the prospective use of WSNs in many applications such as area monitoring, environment monitoring, disaster management and security surveillance. Therefore, focus has been given to support a secure, resilient and reliable environment with multipath routing. An efficient routing is an important factor for all WSN protocol in order to meet the node failure, intruder attacks and resource constraints. In the present study, a method is proposed for a hybrid secure routing protocol which offering a high level scalability, security, cluster formation and cluster head selection, so that the network life time can be increased gradually and the results are compared with the LEACH protocol. From the results, the proposed routing protocol can provide better quality of service, increased network life time, energy efficient and more secure routing for wireless sensor network than LEACH protocol.