Interest dissemination in a searchable data-centric opportunistic network

We present a performance evaluation of interest dissemination in Haggle. Haggle is a data-centric, searchable, network architecture for opportunistic communication. In a data-centric network the driving force for information delivery is the interests in a particular data and other nodes´ knowledge about those interests. This paper presents how interests and data are represented and distributed in Haggle. In Haggle data dissemination decisions are made on the sender side. A sending nodes´ knowledge of other nodes´ interest in data is consequently important for network performance. Efficient dissemination of this knowledge increases the the delivery ratio of useful data but also the overhead. We present experimental results with different dissemination strategies.