Digital Signal Processing Reference
In-Depth Information
Chapter 5
A Comparative Study of Modified BBO Variants
and Other Metaheuristics for Optimal Power
Allocation in Wireless Sensor Networks
Ilhem Boussaïd, Amitava Chatterjee, Patrick Siarry,
and Mohamed Ahmed-Nacer
Abstract
This chapter studies the performance of a wireless sensor network in the
context of binary detection of a deterministic signal. The work considers a decen-
tralized organization of spatially distributed sensor nodes, deployed close to the
phenomena under monitoring. Each sensor receives a sequence of observations and
transmits a summary of its information, over fading channel, to a data gathering
node, called fusion center, where a global decision is made. Because of hard en-
ergy limitations, the objective is to develop optimal power allocation schemes that
minimize the total power spent by the whole sensor network under a desired per-
formance criterion, specified as the detection error probability. The fusion of bi-
nary decisions is studied in this chapter by considering two scenarios depending on
whether the observations are independent and identically distributed (i.i.d.) or cor-
related. The present work aims at developing a numerical solution for the optimal
power allocation scheme via variations of the biogeography-based optimization al-
gorithm. The proposed algorithms have been tested for several case studies, and their
performances are compared with constrained versions of the differential evolution
algorithm, the genetic algorithm, and the particle swarm optimization algorithm.
B
·
I. Boussaïd (
M. Ahmed-Nacer
University of Science and Technology Houari Boumediene (USTHB), El-Alia BP 32,
Bab-Ezzouar, 16111 Algiers, Algeria
e-mail:
ilhem.boussaid@univ-paris12.fr
M. Ahmed-Nacer
e-mail:
anacer@cerist.dz
)
A. Chatterjee
Electrical Engineering Department, Jadavpur University, Kolkata, West Bengal 700 032, India
e-mail:
cha_ami@yahoo.co.in
P. Siarry
LiSSi (EA 3956), Université de Paris-Est Créteil Val de Marne, 61 avenue du Général de Gaulle,
94010 Créteil, France
e-mail:
siarry@univ-paris12.fr
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