Energy-aware probing period dimensioning algorithms for mobile WSN-HEAP

This paper presents two approaches for energy management in the context of mobile sensor networks. Such networks are characterised by well-studied energy consumption models where the discovery procedure a.k.a. 'probing phase' of a majority of transmission protocols is extremely expensive, as compared to other network operations. Optimising the probing phase is, therefore, of high importance in order to maximise the network's lifetime. We propose PPM-BM and PPM-EML, two probing period modulation methods. On the first hand, PPM-BM is based on the residual energy of the node. On the other hand, PPM-EML is based on the estimation of the geolocalised encounting probabilities learning of nodes of the network. Experimental results show that PPM-BM and PPMEML enable the overall WSN to efficiently lower its energy consumption and consequently increase its sustainability. Moreover, the delay and deliverability loss due to our probing period modulation algorithms remain negligible for all the routing protocol we studied.