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.