Extremal Properties of Three-Dimensional Sensor Networks with Applications
IEEE Transactions on Mobile Computing
Proceedings of the 3rd international conference on Embedded networked sensor systems
Journal of Network and Computer Applications
Movement-Assisted Connectivity Restoration in Wireless Sensor and Actor Networks
IEEE Transactions on Parallel and Distributed Systems
On the construction of 2-connected virtual backbone in wireless networks
IEEE Transactions on Wireless Communications
Coverage-aware connectivity restoration in mobile sensor networks
Journal of Network and Computer Applications
Connectivity optimization for wireless sensor networks applied to forest monitoring
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
mPHASiS: Mobile patient healthcare and sensor information system
Journal of Network and Computer Applications
Multi-sector multi-range control for self-organizing wireless networks
Journal of Network and Computer Applications
Journal of Network and Computer Applications
IEEE Wireless Communications
IEEE Wireless Communications
Measurements and modelling of wind influence on radiowave propagation through vegetation
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Journal of Network and Computer Applications
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Measuring network connectivity under grid-based deployment in 3D space is a challenging problem in wireless sensor networks (WSNs). Solving such a problem becomes an even more intricate task with realistic deployment factors such as placement uncertainty and hindrances to wireless communication channels. While much work has been published on optimizing connectivity, only a few papers have addressed such realistic aspects which cause severe connectivity problems in practice. In this paper, we introduce a novel grid-based deployment metric, called Average Connectivity Percentage in order to characterize the deployed network connectivity when sensor placements are subject to random errors around their corresponding grid locations. A generic approach is proposed to assess and evaluate the proposed metric. This generic approach is independent of the grid-shape, random error distributions, and different environment-based channel characteristics. We apply the generic approach in two practical deployment scenarios: the grid-based deployment with bounded uniform errors and with unbounded normal errors. In both cases, the average connectivity percentage is computed numerically and verified via extensive simulations. Based on the numerical results, quantified effects of positioning errors and grid edge length on the average connectivity percentage are outlined.