Paper
20 May 2005 Self-deployable mobile sensor networks for on-demand surveillance
Author Affiliations +
Abstract
This paper studies two interconnected problems in mobile sensor network deployment, the optimal placement of heterogeneous mobile sensor platforms for cost-efficient and reliable coverage purposes, and the self-organizable deployment. We first develop an optimal placement algorithm based on a "mosaicked technology" such that different types of mobile sensors form a mosaicked pattern uniquely determined by the popularity of different types of sensor nodes. The initial state is assumed to be random. In order to converge to the optimal state, we investigate the swarm intelligence (SI)-based sensor movement strategy, through which the randomly deployed sensors can self-organize themselves to reach the optimal placement state. The proposed algorithm is compared with the random movement and the centralized method using performance metrics such as network coverage, convergence time, and energy consumption. Simulation results are presented to demonstrate the effectiveness of the mosaic placement and the SI-based movement.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lidan Miao, Hairong Qi, and Feiyi Wang "Self-deployable mobile sensor networks for on-demand surveillance", Proc. SPIE 5778, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IV, (20 May 2005); https://doi.org/10.1117/12.607185
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Sensors

Sensor networks

Surveillance

Algorithm development

Amplifiers

Environmental sensing

Strategic intelligence

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