Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
A Minimum Cost Heterogeneous Sensor Network with a Lifetime Constraint
IEEE Transactions on Mobile Computing
Adaptive Block-Based Image Coding with Pre-/Post-Filtering
DCC '05 Proceedings of the Data Compression Conference
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 12 - Volume 13
SeRLoc: Robust localization for wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Sensor Network Operations
Exploring Non Uniform Quality of Service for Extending WSN Lifetime
PERCOMW '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops
Energy-Optimal Grid-Based Clustering in Wireless Microsensor Networks
ICDCSW '09 Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems Workshops
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
MAC protocols for wireless sensor networks: a survey
IEEE Communications Magazine
Distance Distribution in Convex n-Gons: Mathematical Framework and Wireless Networking Applications
Wireless Personal Communications: An International Journal
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Minimizing energy consumption in wireless sensor networks has been a challenging issue, and grid-based clustering and routing schemes have attracted a lot of attention due to their simplicity and feasibility. Thus how to determine the optimal grid size in order to minimize energy consumption and prolong network lifetime becomes an important problem during the network planning and dimensioning phase. So far most existing work uses the average distances within a grid and between neighbor grids to calculate the average energy consumption, which we found largely underestimates the real value. In this paper, we propose, analyze and evaluate the energy consumption models in wireless sensor networks with probabilistic distance distributions. These models have been validated by numerical and simulation results, which shows that they can be used to optimize grid size and minimize energy consumption accurately. We also use these models to study variable-size grids, which can further improve the energy efficiency by balancing the relayed traffic in wireless sensor networks.