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Data rates in wireless networks grow approximately by a factor of
10 every 5 years and this together with the increase in the number
of users, results in a doubling of the energy requirements of the
wireless networks infrastructure every 4 to 5 years. This book
considers minimizing the energy consumption of wireless access
networks through switching on and off and adjusting the transmitted
power of wireless network devices according to realistic traffic
patterns. Author propose an optimization approach based on the
development of integer linear programming (ILP) models that
minimize the energy consumption of the whole network, whilst
ensuring sufficient area coverage and capacity for guaranteed
quality of service. Obtained results show that remarkable energy
savings of up to 50% can be achieved by the proposed network
management strategies. To cope with the problem of high
computational time characteristics of some ILP models, heuristic
algorithms based on greedy methods and local search have been
developed. Each of the heuristic algorithms ensures the
minimization of network energy consumption within a reasonable
amount of time, making them applicable for practical
implementation.
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