Divisible Load Scheduling in Clustered Wireless Sensor Networks

Abstract

Optimal data scheduling strategies in a clustered hierarchical wireless sensor network are investigated. Data aggregation scheme in clusterheads are considered. Information utility, a newly introduced parameter is used for the situation of sensing data with a certain ratio of data accuracy in the context of the measurement data. A mathematical scheduling technique for multi-cluster wireless sensor network topology is examined by collapsing single clusters into equivalent intelligent sensor nodes which form a flat tree network. Using the optimal solution for the amount of data obtained by divisible load theory, an analysis of the energy dissipation is carried out with speed parameters and information utility constant. Aerospace based wireless sensor networks have application including tracking, environmental monitoring, and avionics sensing and control.