Multi-hop communication is order-optimal for homogeneous sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
On the scalability of hierarchical cooperation for dense sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Energy efficiency of cooperative dense wireless sensor networks
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Communication power optimization in a sensor network with a path-constrained mobile observer
ACM Transactions on Sensor Networks (TOSN)
IEEE Transactions on Wireless Communications
Order-optimal data collection in wireless sensor networks: delay and capacity
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Event reporting on continuous monitoring wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Data collection capacity of random-deployed wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Capacity of data collection in arbitrary wireless sensor networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
The capacity of ad hoc networks with heterogeneous traffic using cooperation
INFOCOM'10 Proceedings of the 29th conference on Information communications
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
On the data gathering capacity and latency wireless sensor networks
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
On the broadcast capacity of wireless networks with cooperative relays
IEEE Transactions on Information Theory
Order-optimal data aggregation in regular wireless sensor networks
IEEE Transactions on Information Theory
Analysis of capacity improvement by directional antennas in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Review: A gradient based routing scheme for street lighting wireless sensor networks
Journal of Network and Computer Applications
Cell-based snapshot and continuous data collection in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
| Hi-index | 754.96 |
We consider dense wireless sensor networks deployed to observe arbitrary random fields. The requirement is to reconstruct an estimate of the random field at a certain collector node. This creates a many-to-one data gathering wireless channel. In this note, we first characterize the transport capacity of many-to-one dense wireless networks subject to a constraint on the total average power. In particular, we show that the transport capacity scales as Theta(log(N)) when the number of sensors N grows to infinity and the total average power remains fixed. We then use this result along with some information-theoretic tools to derive sufficient and necessary conditions that characterize the set of observable random fields by dense sensor networks. In particular, for random fields that can be modeled as discrete random sequences, we derive a certain form of source/channel coding separation theorem. We further show that one can achieve any desired nonzero mean-square estimation error for continuous, Gaussian, and spatially bandlimited fields through a scheme composed of single-dimensional quantization, distributed Slepian-Wolf source coding, and the proposed antenna sharing strategy. Based on our results, we revisit earlier conclusions about the feasibility of data gathering applications using dense sensor networks.