Call For Papers:Information Processing and Data Management in WSN
Communications in wireless sensor networks are data-centric, with the objective of delivering collected data in a timely fashion. Also, such networks are resource-constrained, in terms of sensor nodes’ processing power, bandwidth communication, storage space and energy. This gives rise to new challenges in information processing and data management in wireless sensor networks. In many applications, users may frequently query information in the network. The tradeoff between updates and queries needs to be addressed. In-network data processing techniques, from simple reporting to more complicated collective communications, such as data aggregation, broadcast, multicast and gossip should be developed. On the other hand, data collected by sensors can intrinsically be viewed as signals. By exploiting signal processing techniques, collective communications can be done in more energy-efficient ways. Moreover, distributed data management schemes are necessary to be devised when sensed data is collected from different sources at different rates.
The Call for Papers is available here.
