Optimized query routing trees for wireless sensor networks
AuthorAndreou, Panayiotis G.
Zeinalipour-Yazdi, Constantinos D.
Chrysanthis, Panos K.
Samaras, George S.
Google Scholar check
MetadataShow full item record
In order to process continuous queries over Wireless Sensor Networks (WSNs), sensors are typically organized in a Query Routing Tree (denoted as T) that provides each sensor with a path over which query results can be transmitted to the querying node. We found that current methods deployed in predominant data acquisition systems construct T in a sub-optimal manner which leads to significant waste of energy. In particular, since T is constructed in an ad hoc manner there is no guarantee that a given query workload will be distributed equally among all sensors. That leads to data collisions which represent a major source of energy waste. Additionally, current methods only provide a topological-based method, rather than a query-based method, to define the interval during which a sensing device should enable its transceiver in order to collect the query results from its children. We found that this imposes an order of magnitude increase in energy consumption. In this paper we present MicroPulse+, a novel framework for minimizing the consumption of energy during data acquisition in WSNs. MicroPulse+ continuously optimizes the operation of T by eliminating data transmission and data reception inefficiencies using a collection of in-network algorithms. In particular, MicroPulse+ introduces: (i) the Workload-Aware Routing Tree (WART) algorithm, which is established on profiling recent data acquisition activity and on identifying the bottlenecks using an in-network execution of the critical path methodand (ii) the Energy-driven Tree Construction (ETC) algorithm, which balances the workload among nodes and minimizes data collisions. We show through micro-benchmarks on the CC2420 radio chip and trace-driven experimentation with real datasets from Intel Research and UC-Berkeley that MicroPulse+ provides significant energy reductions under a variety of conditions thus prolonging the longevity of a wireless sensor network. © 2010 Elsevier B.V. All rights reserved.
Showing items related by title, author, creator and subject.
ETC: Energy-driven tree construction in wireless sensor networks Andreou, Panayiotis G.; Pamboris, Andreas; Zeinalipour-Yazdi, Constantinos D.; Chrysanthis, Panos K.; Samaras, George S. (2009)Continuous queries in Wireless Sensor Networks (WSNs) are founded on the premise of Query Routing Tree structures (denoted as T), which provide sensors with a path to the querying node. Predominant data acquisition systems ...
Multi-objective query optimization in smartphone social networks Konstantinidis, Andreas; Zeinalipour-Yazdi, Constantinos D.; Andreou, Panayiotis G.; Samaras, George S. (2011)The bulk of social network applications for smart phones (e.g., Twitter, Face book, Foursquare, etc.) currently rely on centralized or cloud-like architectures in order to carry out their data sharing and searching tasks. ...
FSort: External sorting on flash-based sensor devices Andreou, Panayiotis G.; Spanos, O.; Zeinalipour-Yazdi, Constantinos D.; Samaras, George S.; Chrysanthis, Panos K. (2009)In long-term deployments of Wireless Sensor Networks, it is often more efficient to store sensor readings locally at each device and transmit those readings to the user only when requested (i.e., in response to a user ...