On the Performance of Location-Centric Storage in Sensor Networks

Abstract

Abstract-This paper presents Location-Centric Storage (LCS), a novel distributed data storage protocol for sensor networks. In the protocol, each event detected by sensors is associated with an intensity value (σ)(by sensors), where σ is a parameter that depends on the characteristics of the event and the application context. When event information is broadcast, a sensor decides whether to store the record of an event by checking its distance to the event location and the σ. In general, the higher the intensity of an event, the further its information can propagate geographically in the sensor network. Besides, the closer to the event location, the denser the sensors are that store the event information, and thus the quicker and better a user can know about the event (by reading from surrounding sensors). The protocol utilizes network resource efficiently. In particular, the storage load of sensors is independent of the network size, and is evenly distributed across the network. Moreover, the communication distance for getting event information is small. Therefore, the protocol has great scalability. We provide detailed theoretical analysis and simulation study to support the claims. We also ran simulations to show the advantage of our protocol over some previous work. LCS can be used for applications such as context-dependent information mining in pervasive computing and on-demand warning in surveillance sensor networks.

Query Sensitive Storage for Wireless Sensor Networks

“…Besides, similar to LS, DCS creates hot spots. Finally, LocationCentric Storage [14] stores the generated events in concentric circles with gradually larger radii, around the sensor where the event was originated. Although this storage protocol is suitable for our target applications, it suffers from the drawback that a querer can be informed about the events of his/her interest only when s/he approaches the origin sensors; thus his/her queries will probably experience high latency.…”

“…Various optimization to the original approach have been described [7], [5], [4] after the introduction of the method, but the hardly heal the aforementioned drawbacks. LCS [14], [15] is a distributed storage protocol where each event is associated with in intensity value (σ), which determines the geographical propagation of the event record. The protocol then builds concentric circles of records with specific radii based on σ (see left part of Figure 1).…”

“…We evaluated the performance of the QSS protocol through simulation experiments and compared its performance to that of the state-of-the-art storage protocol for surveillance sensor networks, namely LCS [14].…”

“…The wireless bandwidth is assumed to be 2 Mbps. We performed a large number of experiments with various sensor network topologies, and parameter setting, but for the interest of space, we present here a subset of the experiments with a setting that is similar to that of [14].…”

The Research of Data Storage and Retrieval Scheme for Wireless Sensor Networks

“…These schemes can be divided into three categories: Local Storage (LS), External Storage (ES), and Data-Centric Storage (DCS) [6]. Studies about comparison of the above three kinds of methods in the overhead of storage, query, and update have been conducted in [6] [7].…”