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We firstly define the routing path in a simplified static case.
We define the routing cost of an MR l as C O S T i = ∑ l j k ∈ P i C o s t j k = ∑ l j k ∈ P i ( I j k r j k ), (10).
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It is also the Session Manager that defines the routing metrics, provides the respective information element to the network layer, and implements route evaluation.
Section 3 defines the routing problem for DTNs with periodic connections and proposes different routing solutions for different connection models.
This sensor-centric concept which is based on the contribution of individual sensors to the overall routing objective is used to define the quality of routing (QoR) paths.
The proposed methods usually define the load balancing routing as flow problems and use integer linear programming to solve them.
We want to reduce the total number of routes defined in the routing, and the maximum of the number of routes defined for a node (called route degree) as least as possible.
In this section, we define the shortcomings of earliest delivery routing and introduce min-hop earliest delivery routing.
Although INX is isotonic in nature, it performs well only under low load scenarios because no load balancing mechanism is defined in the routing metric.
The expected transmission delay (ETD) based on the bidirectional transmission success rate is defined as the routing metric, and the lower delay node is selected as the next hop of transmission to provide the best delay guarantee.
Figure 6 illustrates this process with source node S, destination node D, and routing node R. We define the direction area as an angle α with a default value of 30°.
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