A lower bound for radio broadcast
Journal of Computer and System Sciences
Leader election algorithms for mobile ad hoc networks
DIALM '00 Proceedings of the 4th international workshop on Discrete algorithms and methods for mobile computing and communications
Robust position-based routing in wireless Ad Hoc networks with unstable transmission ranges
DIALM '01 Proceedings of the 5th international workshop on Discrete algorithms and methods for mobile computing and communications
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Deterministic Broadcasting Time in Radio Networks of Unknown Topology
FOCS '02 Proceedings of the 43rd Symposium on Foundations of Computer Science
Approximation Algorithms for Minimum Time Broadcast
ISTCS'92 Proceedings of the Israel Symposium on Theory of Computing and Systems
Adaptive clock synchronization in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Geometrically aware communication in random wireless networks
Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing
Timed grid routing (TIGR) bites off energy
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Managing random sensor networks by means of grid emulation
NETWORKING'06 Proceedings of the 5th international IFIP-TC6 conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
From balls and bins to points and vertices
ISAAC'05 Proceedings of the 16th international conference on Algorithms and Computation
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
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A common assumption in sensor networks is that sensors are located according to a uniform random distribution. In this paper, we show that uniform random points on the two dimensional unit square are almost a ''grid''. In particular, for a synchronous geographic sensor network we show how to emulate any grid protocol on random sensor networks, with high probability. This suggests the following framework. In order to solve a problem on a random sensor network, we solve the same problem on a grid. Then we use our emulation to make the obtained solution suitable for random sensor network. We analyze the cost of the emulation in terms of consumed energy and time. Finally, we provide some examples that illustrate our method.