Optimized multi-attribute co-design for maximizing efficiency in Wireless Sensor Networks

A key task in Wireless Sensor Networks (WSNs) is to deliver specific information about a spatial phenomenon of interest. However, in WSNs the operating conditions and/or user requirements are often desired to be evolvable, whether driven by changes of the monitored parameters or WSN properties. To this end, few sensor nodes sample the phenomenon and transmit the acquired samples, typically multihop, to the application through a gateway called sink. Accurately representing the physical phenomenon and reliably, timely delivering the user required information comes at the cost of higher energy as additional messages are required. This work proposes a tunable co-design for network optimization to avoid under or over provision of information and interaction of the attributes and their effects on each other. We validate the approach viability through analytical modeling, simulations for a range of requirements.