A simulation model for aligning smart home networks and deploying smart objects.

Smart homes use sensor based networks to capture activities and offer learned services to the user. These smart home networks are challenging because they mainly use wireless communication at frequencies that are shared with other services and equipments. One of the major challenges is the interferences produced by WiFi access points in smart home networks which are expensive to overcome in terms of battery energy. Currently, different method exists to handle this. However, they use complex mechanisms such as sharing frequencies, sharing time slots, and spatial reuse of frequencies. This paper introduces a unique concept which saves battery energy and lowers the interference level by simulating the network alignment and assign the necessary amount of transmit power to each individual network node and finally, deploy the smart objects. The needed transmit powers are calculated by the presented and discussed simulation model which offers the packet error rate as a function of transmit power, wall losses, path losses, interference source power, and white Gaussian noise power. The deployed smart objects process the user events on location and thereby minimize the costly wireless handling of these. It has been shown that this concept provides considerable savings in sensor node battery energy and it lowers the interference level.