Agent Based Context Aware Data Aggregation and Dissemination in Distributed Multimedia Sensor Networks

Abstract

Being equipped with appropriate multimedia sensor nodes, DMSNs can enable detection of object, temperature and identification of the location of fire attack in the forest. Sensor nodes deployed in forest environment enables to gather context information such as air pressure, temperature , object awareness, location of fire, fire condition (emergency level or non emergency level), and energy awareness about each node. Data aggregation plays an important role to conserve the network life of DMSN. Hence, in this paper we propose an software agent based energy efficient context aware data aggregation and dissemination in DMSN for the targeted area. The proposed model considers the context information such as temperature, air-pressure, energy, object awareness and helps in identifying the location of fire attack in the forest. Static and mobile software agents are used along with context awareness to improve the performance of the proposed scheme. To test the operation, proposed scheme is simulated using NS2. The performance of the proposed scheme is evaluated by considering some of the parameters such as energy consumption, routing overhead, rate of redundancy of data, aggregation time and rate of dissemination of data.