Proceedings ArticleDOI
Max-min d-cluster formation in wireless ad hoc networks
Alan D. Amis,Ravi Prakash,T.H.P. Vuong,D.T. Huynh +3 more
- Vol. 1, pp 32-41
TLDR
A heuristic to form d-clusters in a wireless ad hoc network that tends to re-elect existing clusterheads even when the network configuration changes and has a tendency to evenly distribute the mobile nodes among the clusterheads, and evently distribute the responsibility of acting as clusterheads among all nodes.Abstract:
An ad hoc network may be logically represented as a set of clusters. The clusterheads form a d-hop dominating set. Each node is at most d hops from a clusterhead. Clusterheads form a virtual backbone and may be used to route packets for nodes in their cluster. Previous heuristics restricted themselves to 1-hop clusters. We show that the minimum d-hop dominating set problem is NP-complete. Then we present a heuristic to form d-clusters in a wireless ad hoc network. Nodes are assumed to have a non-deterministic mobility pattern. Clusters are formed by diffusing node identities along the wireless links. When the heuristic terminates, a node either becomes a clusterhead, or is at most d wireless hops away from its clusterhead. The value of d is a parameter of the heuristic. The heuristic can be run either at regular intervals, or whenever the network configuration changes. One of the features of the heuristic is that it tends to re-elect existing clusterheads even when the network configuration changes. This helps to reduce the communication overheads during transition from old clusterheads to new clusterheads. Also, there is a tendency to evenly distribute the mobile nodes among the clusterheads, and evently distribute the responsibility of acting as clusterheads among all nodes. Thus, the heuristic is fair and stable. Simulation experiments demonstrate that the proposed heuristic is better than the two earlier heuristics, namely the LCA and degree-based solutions.read more
Citations
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Survey of clustering techniques for mobile ad hoc networks Técnicas de agrupamiento para redes móviles ad hoc
TL;DR: A survey of clustering techniques for MANET is presented and some preliminary concepts for designing clustering algorithms are introduced in this paper, which relate to network topology, routing schemes, graph partitioning and mobility algorithms.
Book ChapterDOI
Slf-stabiliezing leader election in dynamic networks
TL;DR: Three silent self-stabilizing asynchronous distributed algorithms are given for the leader election problem in a dynamic network with unique IDs, using the composite model of computation.
Journal ArticleDOI
A TOPSIS Based Cluster Head Selection for Wireless Sensor Network
TL;DR: A multi-criteria decision-making method for selecting CH with regard to the four criteria: the residual energy, the number of neighbors, the distance below the base station and the transmission range for each node, which causes that the best node be selected as the CH.
Proceedings ArticleDOI
Power-aware fair infrastructure formation for wireless mobile ad hoc communications
TL;DR: It is shown that PA-VBS outperforms other infrastructure-formation protocols in terms of load balancing, and attains fair clustering, and is also shown to react positively to different routing loads.
Journal Article
VCA: An Energy-Efficient Voting-Based Clustering Algorithm for Sensor Networks.
Min Qin,Roger Zimmermann +1 more
TL;DR: A novel Voting-based Clustering Algorithm (VCA) is proposed for energy-efficient data dissemination in wireless sensor networks that combines load balancing, energy and topology information together by using very simple voting mechanisms.
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