Authors : M. Preetha and B. Parvathavarthini
Abstract: Wireless Sensor Network (WSN) consists of huge collection of small, battery-powered sensor nodes. Advancements in the WSN give a new scope and dimension for implementing WSN in real-time applications. WSN is inexpensively implemented in the desired area to monitor space, things and the interaction between the things and encompassing space such as surveillance, intelligent alarm, pipeline and location monitoring, natural disaster monitoring, etc. For processing, transmission and aggregation of data for the aforementioned monitoring functions, nodes consume more energy. This becomes a daunting challenge for WSN, since WSNs are limited with the limited power, processing time and storage capacity. In order to overcome resource constraints, researchers of this study proposed a new comprehensive energy postulate that depends on the energy cost modeling named C-MAC. The model is constructed through thorough examinations of energy spend in a working WSN for deployment. The decision made in the deployment of nodes explicitly affects the sensing quality as well as the energy consumption of the entire network. Researchers mainly focused on the self rearrange for identification of the neighbour which is useful for the energy conservation. The proposed generalized model is validated by experimented through spotting toxic gas and also researchers in sighted the energy requirement for both the existing and proposed energy model.
M. Preetha and B. Parvathavarthini, 2013. C-MAC: An Efficient Energy Postulate Based on Energy Cost Modeling in Wireless Sensor Network. Asian Journal of Information Technology, 12: 176-183.