Optimal Selective Forwarding for Energy Saving in Wireless Sensor Networks
Scenarios where nodes have limited energy and forward messages of different importance's (priorities) are frequent in the context of wireless sensor networks. Tailored to those scenarios, this paper relies on stochastic tools to develop selective message forwarding schemes. The schemes will depend on parameters such as the available battery at the node, the energy cost of retransmitting a message, or the importance of messages. The forwarding schemes are designed for three different cases: when sensors maximize the importance of their own transmitted messages; when sensors maximize the importance of messages that have been successfully retransmitted by at least one of its neighbors; and when sensors maximize the importance of messages that successfully arrive to the sink.