A new query processing model for maintaining data temporal consistency in Wireless Sensor Networks

Abstract

Maintaining data temporal consistency in a Wire less Sensor Network (WSN) has attracted the attention of many researchers. Nowadays, there are many applications based on WSN which require consistent and valid measures to reflect the current state of the environment being monitored, or to quickly respond to some critical situations. In this paper, we propose a new query processing mechanism, giving each node the possibility to control the temporal validity of data in order to reduce the amount of invalid data delivered by WSN. We also provide a new query model, by introducing new SQL clauses, that allows the user setting the data validity interval and assigning a deadline to each query. Finally, we discuss the performances of our query processing approach and its capacity to maintain the data temporal consistency through two scenarios. The first scenario consists of injecting a single query in the network, then receiving periodic responses from sensors, during a period set by the user. In the second scenario, the user sends periodic queries to sensors according to an epoch, thereafter, it waits for query responses. We concluded by discussing the ability of network to maintain the data temporal consistency, based on the average of query responses time and the amount of valid data transmitted across the network.

IPLQueeN: Integrity Preserving Low-Overhead Query Handling Over NDN-Based WSN

“…The simulation results and the comparison with other state-ofthe-art methods have shown that our routing protocol balances the routing load, increases the network lifetime, and reduces energy consumption. Authors in [8] introduce a query processing method to improve the amount of valid data transmitted in the network. Firstly, they run some verifications using network connectivity and synchronization (among nodes) before injecting any query in the network.…”

“…For example, in developing query-driven applications in WSN [3], attribute-based naming is necessary to specify the properties of data in a query. However, there is no standard naming scheme for various complex applications in the literature, which limits the deployment of the data-centric approaches in practice for WSNs [4][5][6][7][8][9]. In the meantime, named data networking (NDN) has emerged as a promising field to cope with the usage of today's internet which follows data-centric communication [10] [11].…”