Abstract
In this paper we propose an adaptive square-shaped trajectory (ASST)-based service location method to ensure load scalability in wireless sensor networks. This first establishes a square-shaped trajectory over the nodes that surround a target point computed by the hash function and any user can access it, using the hash. Both the width and the size of the trajectory are dynamically adjustable, depending on the number of queries made to the service information on the trajectory. The number of sensor nodes on the trajectory varies in proportion to the changing trajectory shape, allowing high loads to be distributed around the hot spot area.
Highlights
Advances in wireless networking have set new paradigms in computing, including pervasive computing based on a large-scale wireless sensor network
We have proposed a new energy efficient and scalable data dissemination method, i.e., adaptive square-shaped trajectory (ASST), based on Distributed Hash Table (DHT) and Trajectory Based Forwarding (TBF)
ASST is a type of data-centric storage system for sensor networks
Summary
Advances in wireless networking have set new paradigms in computing, including pervasive computing based on a large-scale wireless sensor network. Service information is very time critical in pervasive computing; the service location protocol for the wireless sensor network should provide high accessibility to service information [21,22,23]. The easiest way to provide high accessibility is to periodically broadcast (flood) service information to the entire network. This method entails major energy consumption, but it is simple and some protocols use this approach. We propose an adaptive square-shaped trajectory (ASST)-based service location method, which is a novel self-configuring, scalable, energy efficient, and robust service location protocol.
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