Abstract
We address the problem of gathering information in sensor webs consisting of sensors nodes, wherein a round of communication sensor nodes have messages to be sent to a distant central node (called the base station) over the shortest path. There is a wide range of data gathering applications like target and hazard detection, environmental monitoring, battlefield surveillance, etc. Consequently, efficient data collection solutions are needed to improve the performance of the network. In this article, we take into account the fact that interference can occur at the reception of a message at the receiver sensor. In order to save redundant retransmissions and energy, we assume a known distribution of sources (each node wants to transmit at most one packet) and one common destination. We provide a number of scheduling algorithms jointly minimizing both the completion time and the average packet delivery time. We define our network model using directional antennas and consider Ring, Tree, and Grid Network (and its generality) topologies. All our algorithms run in low-polynomial time.
The preliminary version of this article has been appeared by ICNS′07 (Intl. Conf. on Networking and Services, 2007). The work by Yoram Revah has been partially supported by the Kreitman fellowship for excellence and Israeli Ministry of Science fellowship for PhD studies. The work by Michael Segal has been partially supported by Israeli Ministry of Trade (consortium REMON for 4G communications) and INTEL.