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The aim of this paper is to investigate the rate in which sink node isolation occur in order to improve the scalability of wireless sensor networks. It can be noted that while most previous works investigate scalability in terms of total energy consumption or the rate of node’s death in the WSN. In this work, we consider the scalability in terms of the rate of sink node isolation with respect to the WSN deployment size. The aim of power-aware routing algorithms in Wireless Sensor Networks (WSNs) is to solve the key issue of prolonging the lifetime of resource-constrained ad-hoc sensor nodes. Contemporary WSN routing algorithm designs have severe limitations on their scalability; that is, large-scale deployments of WSNs result in relatively shorter lifetimes, as compared to small-scale deployments, primarily owing to rapid sink node isolation caused by the quick battery exhaustion of nodes that are close to the sink. This paper analyzes the scalability limitations of conventional routing algorithms and compares them to the recently proposed Improved MultI-layer routiNg (IMIN). IMIN will be mathematically analyzed to show the relationship between network size and routing algorithm scalability. Additionally, through extensive simulations, it will be deduced that IMIN scales considerably better in terms of network connectivity.

Improving the Scalability of Wireless Sensor Networks by Reducing Sink Node Isolation