DESCRIPTION OF WORK
Most of the efforts will be devoted to the development of algorithms for distributed processing and their performance evaluations by means of simulations and, wherever possible, by theoretical analysis, in order to better understand the impact of the parameter choice on the final performance. The network applications and services defined in WP2 will give the basis for the algorithm development. The activities of this WP will be the following.
- Algorithms for sensor coupling: design and test different approaches for sensor radio coupling by adopting a common bio-inspired paradigm which entails wide connectivity at network level, absence of complicated, OSI-like, layers stacking and routing mechanisms. The algorithm design and evaluation will focus on sensing of static and dynamic parameters, performance evaluation in the presence of realistic radio propagation, assessment of network convergence conditions and speed, evaluation of network robustness against sensors switch-off, impact of quantised estimation for digital transceivers, sensors coupling extension to multi-parametric estimations.
- Wide area monitoring for event detection: demonstrate how the network as a whole outperforms the detection capabilities of each sensor. Measure the scalability; in particular the improvement with increasing number/density of sensor, without increasing the sensor-sensor connectivity requirements. Address specific study toward the influence of the radio channel statistics (e.g. multipath fading) and external interference on the achievable performance and on the required transmission power, with the goal of deriving network design recommendations to WP4.
- Energy saving techniques: definition and evaluation of strategies of power consumption minimisation at the sensor nodes based on self-adaptation of node functionality (e.g. pulse transmission intervals) to the rate of change of the monitored environment; analysis of strategies aimed at exploiting the correlation of the information among the sensors to decrease the overall power employed by the network.
- Algorithms for event location : design and evaluate methods based on mixed topologies (i.e. random sensor topologies overlaid by a subset of nodes with known locations) in order to extract, the location of a generic detected event.
- Physical parameters estimation: assessment scalability achievable by the algorithms in the targeted scenarios and services, constrained to the minimisation of the radio range of each sensor. Evaluation of the tracking capabilities of the system when the physical entities vary with time.
- Spatial smoothing or clustering: design and evaluation of the sensors coupling mechanism in case of monitoring services requiring 2D/3D field measurements. The corresponding coupling algorithm will smooth the undesired noisy fluctuations of the sensed field and evaluations of the resulting reliability improvement at sensor level and at network level will be carried out.
- Mobile objects swarming: extension of the coupling mechanism to the problem of mobile sensor nodes will be evaluated. The activity will generalise the algorithms by including terms accounting for the equivalent proximity repulsion potential and the attractive potentials. Performances will be estimated in terms of swarming capabilities, percentage of sensors reaching the goal path and dispersion around it, also taking into account not idealised radio propagation.
- In summary, in this WP we will end up with the main performance parameters achievable with the proposed innovative technology. Our plan is to prove the network scalability and fault tolerance or robustness against unexpected node failures or stand-by modes of operations