1. Multivariate Gaussian Mean Distributed Network Topology for Energy Efficient Communication in Wireless Sensor Networks.
- Author
-
Shankar, T., Shanmugavel, S., Karthikeyan, A., and Nadeem, Arshad
- Subjects
WIRELESS sensor networks ,DISTRIBUTED network protocols ,ELECTRIC network topology ,MULTIVARIATE analysis ,GAUSSIAN processes ,WIRELESS sensor nodes ,NETWORK performance - Abstract
Wireless sensor network is a scenario where a base station collects all the sensor data from sensor nodes distributed in the field. A topological connectivity is essential for the better performance of wireless sensor networks. The proposed Multivariate Gaussian Mean Distribution (MGMD) topology consider node distribution around the centralized base station, hence density of sensor nodes are higher near base station. This type of distribution is suitable for application where the frequent monitoring is needed for particular region. The proposed Multivariate Gaussian Mean Distributed (MGMD) network topology for extending the life time of wireless sensors network also increasing the residual energy of nodes. The LEACH algorithm is taken in account to analyze the effect of proposed MGMD topology which gives better performance than random distribution of sensor nodes. [ABSTRACT FROM AUTHOR]
- Published
- 2013