Background:
Manmade disasters like explosion, toxic wastes, chemical spills etc. have become an imperative
concern for our society. Manmade disasters are not everyday phenomenon. Thus, the allocation of separate resources is not
realistic. The idea is to use existing cellular infrastructure to implement single hop cognitive radio sensor network for
protecting human being from manmade disasters.
Objective:
The main objectives of this paper are as follows: (a) design of an efficient iterative power regulation algorithm
based on Firefly Algorithm for the proposed network, (b) computation of sensor nodes’ optimal power for different position
of the cellular user from the base station assuming that cellular user compromises power for its own sensor node, (c)
computation of maximum number of sensor nodes coupled with single cellular user for different distances from the base
station in worst channel condition, and (d) comparative performance analysis with state-of-the-art algorithms.
Method:
In presence of explosive and toxic gases, cognitive radio in sensor node establishes connection with the nearest
base station to send pre-disaster alert signal utilizing cellular user’s resources. The power is distributed among sensor nodes
maintaining the fundamental requirements of cellular users. Here an iterative power regulation mechanism is employed for
distributing the power between sensor node and cellular user to achieve reliable utility of the network. The fitness function
is designed under the constraints of interference and the designed algorithm is implemented in MATLAB platform towards
the searching of optimal power of sensor nodes by maximizing the fitness function.
Results: Comparative performance analysis demonstrates the effectiveness of proposed algorithm in terms of speed of
convergence, position of mobile phone user from the base station, number of coupled sensor nodes with single cellular user,
and Jain’s fairness factor.
Conclusion:
The proposed network controls the occurrence of manmade disasters and achieves reliable transmission of
emergency information prior to disaster without disrupting the cellular phone users. Simulation results validate that the
proposed IPRFA algorithm outperforms with respect to state-of-the-art methods in terms of sharing power and Jain’s
fairness factor.
Over-the-Air Testing of Cognitive Radio Nodes in a Virtual Electromagnetic Environment
