IEEE Network · 2022 · 19 citations · 11 references
ComputingComputer ScienceMathematicsComputer NetworksDistributed SystemsWireless CommunicationsNetwork RobustnessNetwork TheoryNetwork TopologySensor NetworksWireless NetworksWireless Sensor NetworksConnectivity AlgorithmsConnectivity RobustnessDisjoint PathsDisjoint Paths ProblemNode ConnectivityNode-disjoint PathsOverviewRobust Communication Topology
<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$k$</tex> -connectivity is a strong notion of robust connectivity. Indeed, in a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$k$</tex> -connected network, each node has k disjoint paths to all the other nodes in the network. Therefore, even in the case of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathrm{k}-1$</tex> node/link failure(s), a k-connected wireless sensor network (WSN) remains connected because each node still has, at least, one path to the rest of the surviving nodes. Networks with higher <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$k$</tex> values are, typically, more reliable and fault tolerant than those with lower k values. In this study, we present a systematic and dedicated overview of WSN k-connectivity problem. We, first, outline the k-connectivity detection problem (i.e., determining the k value of a network). Second, we explore the k-connected network deployment problem. Third, we dissect the restoration problem that addresses the rehabilitation of a deteriorated network to restore its original k value. Built upon the provided foundations, we identify and discuss a rich set of important and promising open research problems along with pointers to possible solution approaches.
11
Deploying wireless sensors to achieve both coverage and connectivity
Xiaole Bai, Santosh Kumar, Dong Xuan et al. · 2006 · 582 citations