A distance routing effect algorithm for mobility (DREAM)
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Routing with guaranteed delivery in ad hoc wireless networks
Wireless Networks
Topology control and routing in ad hoc networks: a survey
ACM SIGACT News
Computational Geometry: Theory and Applications - Special issue on the 14th Canadian conference on computational geometry CCCG02
Impact of Sensing Coverage on Greedy Geographic Routing Algorithms
IEEE Transactions on Parallel and Distributed Systems
Localization in underwater sensor networks: survey and challenges
WUWNet '06 Proceedings of the 1st ACM international workshop on Underwater networks
Half-space proximal: a new local test for extracting a bounded dilation spanner of a unit disk graph
OPODIS'05 Proceedings of the 9th international conference on Principles of Distributed Systems
On a family of strong geometric spanners that admit local routing strategies
WADS'07 Proceedings of the 10th international conference on Algorithms and Data Structures
Hi-index | 0.00 |
Recently, different types of sensors have been developed to detect environmental changes (e.g., instability of the earth's crust) and to reduce the associated damage. For an efficient usage of the sensor technology, several design factors (e.g., topology and sensing coverage) should be taken into account. In this paper, we focus on the underlying topology of sensor networks in two-dimensional environments and propose a new set of graphs referred to as the Derived Circles (DCα) graphs. We show that DCα graphs are locally constructed, connected, power efficient, and orientation-invariant. We also show that DCα graphs have a minimum degree of one and an Euclidean dilation of one. Furthermore, via simulations, we demonstrate that DCα graphs outperform the Half Space Proximal (HSP) graph in terms of the network dilation, Euclidean dilation, and power dilation. This, in turn, reduces the energy consumption of nodes and accordingly prolongs the network lifetime.