Optimizing Lifetime and Power Consumption for Sensing Applications in Extreme Environments

Authors

G. Alirezaei, O. Taghizadeh, R. Mathar,

Abstract

        This chapter considers power optimization in a general sensor network; that is, without specifying any particular application. An optimization problem is defined with a view to extending the network’s lifetime by using the minimum power possible. The proposed problem is shown to be convex, therefore having a global solution that can be obtained by applying traditional numerical methods and convex optimization theory.

An upper and lower bound on network lifetime is derived as a guideline for designing power-constrained WSNs. A lower-complexity method to find near-optimal solutions is also presented. Several practical scenarios are also described and numerical results are presented to verify the proposed method.

A specific section in this chapter is dedicated to power optimization in applications in SEEs, which is the main focus of this book. It is noted that since sensors nodes may fail for various reasons (including battery depletion), the number of sensors in a network may change over time, hence power allocation should also be changed to follow the optimal solution for the most recent status of the network. The proposed power allocation approach performs better than uniform power allocation; in other words, using the same battery in each sensor node in sensor networks with limited and non-renewable energy sources.

The application scenarios considered in this chapter include passive multiple radar sensing, where an unknown target signal is detected or classified. Carrying out this task using a network of low-cost sensors is much more reliable and cost-effective than using asinglecomplexradarsystem.

Another scenario is a solution for construction of oceanographic maps. This application uses sinking sensors to create a 3D map of the ocean bed. Using the optimal power-allocation strategies presented in this chapter eliminates the need for using large batteries and can reduce the overall cost of the network.

In summary, this chapter finds the power-allocation scheme that can best extend the network lifetime without violating signal-quality requirements.

See also

Wiley: Sensors, Instrumentation & Measurement

BibTEX Reference Entry 

@inbook{AlTaMa17,
	author = {Gholamreza Alirezaei and Omid Taghizadeh and Rudolf Mathar},
	title = "Optimizing Lifetime and Power Consumption for Sensing Applications in Extreme Environments",
	pages = "45-64",
	publisher = "John-Wiley {\&} Sons",
	series = "Wireless Sensor Systems for Extreme Environments: Space, Underwater, Underground and Industrial",
	editor = "Habib F. Rashvand, Ali Abedi",
	ISBN = "978-1-119-12646-1",
	month = Aug,
	year = 2017,
	}

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