Energy-balanced task allocation for collaborative processing in wireless sensor networks
Mobile Networks and Applications
Channel-State Based Scheduling in Wireless Sensor Networks for Reliable Transmission
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 12 - Volume 13
A Fault-Tolerant Protocol for Energy-Efficient Permutation Routing in Wireless Networks
IEEE Transactions on Computers
An energy-aware and intelligent cluster-based event detection scheme in wireless sensor networks
International Journal of Sensor Networks
Distributed Overlay Formation in Heterogeneous Wireless Sensor Networks
International Journal of Distributed Sensor Networks - Sensor Networks, Ubiquitous and Trustworthy Computing
A distributed algorithm for waking-up in heterogeneous sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Protocols for sensor networks using COSMOS model
IWDC'05 Proceedings of the 7th international conference on Distributed Computing
Adaptive energy-efficient scheduling for hierarchical wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
| Hi-index | 0.00 |
Clustering is an important characteristic of most sensor applications. In this paper we define COSMOS,theCluster-based, heterOgeneouS MOdel for Sensor networks. The model assumes a hierarchical network architecture comprising of a large number of low cost sensors with limited computation capability, and fewer number of powerful clusterheads, uniformly distributed in a two dimensional terrain. The sensors are organized into single hop clusters, each managed by a clusterhead. The clusterheads are organized in a mesh-like topology. All sensors in a cluster are time synchronized, whereas the clusterheads communicate asynchronously. The sensors are assumed to have multiple power states and a wake-up mechanism to facilitate power management. To illustrate algorithm design using our model, we discuss implementation of algorithms for sorting and summing in sensor networks.