Modeling and analysing the energy cost of communication in wireless mobile adhoc sensor networks

Wireless Sensor Networks (WSNs) are composed of a lot of sensor nodes, capable of signal processing and wireless communication that provide extensive information from the physical world to the digital world through distributed sensing solutions. One important class of wireless sensor networks is wireless ad hoc sensor networks, that characterized by an ad hoc or random deployment sensor method, where the sensor location is not known in previously.In this study, we investigated the effects of mobility on the energy dissipation characteristics of mobile wireless sensor networks. Firstly we define our system model, clarify the assumptions, formulate the optimization problem, and constructed a Linear programming framework that jointly captures data routing, mobility, and energy dissipation in mobile wireless sensor networks. The design space is explored by solving the developed linear programming framework.Linear programming is a technique to solve the problem of maximizing or minimizing a linear function whose variables are required to satisfy a finite set of constraints that are expressed either as linear equalities or linear inequalities. In the context of wireless networks, linear programming approach has previously been applied in many studies to model the unique characteristics of wireless networks and to determine the optimal solutions to problems that are specific to wireless networksLeveraging energy balancing by mobility is the key insight of our work. In more precise terms, the research problem in our study is the investigation of the effects of mobility on energy balancing in wireless sensor networks. Up to our best knowledge, this problem was not studied explicitly in a general and formal way. By developing a novel problem formulation using linear programming, we seek an answer to the important question of whether and when mobility helps energy balancing in wireless sensor networks. The linear programming-based framework we propose in this work evaluates and quantifies the impact of mobility on energy balancing in ideal conditions with optimal routing decisions and abstracts us away from the overhead brought by a specific protocol.Our results show that the level of mobility have significant effects on the energy dissipation trends of mobile nodes. Indeed, under optimal conditions mobility can improve the energy efficiency of mobile wireless networks. However, extreme mobility can degrade the energy efficiency of the network.