Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
The K-Neigh Protocol for Symmetric Topology Control in Ad Hoc Networks
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
Application-specific protocol architectures for wireless networks
Application-specific protocol architectures for wireless networks
An Energy Efficient Select Optimal Neighbor Protocol for Wireless Ad Hoc Networks
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
The r-Neighborhood Graph: An Adjustable Structure for Topology Control in Wireless Ad Hoc Networks
IEEE Transactions on Parallel and Distributed Systems
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
Analysis of collision probability in unsaturated situation
Proceedings of the 2010 ACM Symposium on Applied Computing
A topology control protocol based on eligibility and efficiency metrics
Journal of Systems and Software
Stability and performance analysis of randomly deployed wireless networks
Journal of Computer and System Sciences
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In energy constrained wireless sensor networks, energy conservation techniques are to be applied in order to maximize the system lifetime. We tackle the problem of increasing network lifetime through the topology control assignment. In a two-dimensional random sensor deployment, the nodes can estimate the distances to their neighbors and can vary their transmission ranges accordingly. Supporting self-organization of the sensor nodes, each node locally selects its appropriate neighbors according to a neighbor eligibility metric. Here, we introduce the notion of weighted relaying regions defined over the plane of a searching node. This is aimed at dropping out inefficient links in the network in order to reduce the overall energy consumption. Contrary to most topology control protocols that rely on nearest neighbor approaches, we use a distance measure that is radio characteristic and channel condition dependent. This in turn, proves more adequate for energy conservation in dense network deployments. Considering network dynamics that might arise due to node mobility or node failures, our topology control protocol is to be run periodically. Fairness between the nodes can be increased in updating the topology considering the changing energy reserves of the nodes. We verify the performance of the protocol through simulation results on network graph properties and energy consumption.