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Maximizing network lifetime is a major objective for designing and deploying a wireless sensor network. Clustering sensor nodes is an effective topology control approach helping achieve this goal. In this paper, we present a new method to prolong the network lifetime based on the improved particle swarm optimization algorithm, which is an optimization method designed to select target nodes. The protocol...
Topology control is relevant in wireless sensor network because of two reasons, namely minimal sensor coverage and power constraints. The former condition is typically satisfied by high-density deployment, whereas the latter mainly concerns with the control protocol design that is adaptable. Controlling communication topology is at the center of the efforts to optimize network performance while improving...
In this paper, the clustering of wireless sensor network has been equaled to constructing maximal independent set in graph theory, and a clustering algorithm with “self-stabilizing” and “fault containment” properties, which is considered as a critical feature in the issue of fault tolerance for distributed systems, is proposed. Existing comparable methods include no fault containment and their design...
Designing and development of energy effective path planning algorithm is very key research domain in order to tackle the issues of limited life-time for Wireless Sensor Networks (WSNs). So in WSNs, energy efficiency is major concern of researchers. Overall advancement in routing protocols prove that clustering is much better approach as compared to flat and location-based energy efficient routing...
Clustering is an important concept in the area of wireless sensor network research because of the large number of capability-limited sensors. Most of the clustering algorithms proposed so far in the literature needs the complete topology in the memory and faces the problem of exponential increase of execution time with the size of the topology. In this paper, we propose a distributed neighbor discovery...
Most of the existing routing algorithms are based on two dimension, and the results can't be directly applied to the three dimensional wireless sensor networks, the Space Angle Based Energy-Aware Routing algorithm in three dimensional wireless sensor networks is designed in this paper. Firstly, the Iterative Split Clustering Algorithm for dividing the network nodes is proposed. Secondly, we design...
Because of the limited energy of sensor node in the wireless sensor network, this paper proposes a clustering algorithm of wireless sensor network based on maximal weighted minimal domain set. Considering the efficiency of energy, the algorithm begin from the Sink node, and flood each node in the network, select the node with high residual energy as the cluster head node and relay node, and finally...
Network scalability and energy efficiency in wireless sensor networks should be supported by elaborate topology control. Clustering algorithms are useful topology management approach to reduce communication overhead and exploit data aggregation in wireless sensor networks. A clustering algorithm based on cell combination is presented in the paper for the networks where sensor nodes are distributed...
Energy limited is one main bottle-neck for wireless sensor networks. Due to unreasonable cluster head electing and intensive energy consumption of cluster head in clustering algorithm, we propose multi-hop clustering algorithm, which is aimed to optimize cluster head voting and balance energy consumption of cluster head. Theoretical proofs and Simulation results show that our algorithm has a better...
Clustering is an effective approach to enhance performance in large-scale wireless sensor networks. SMCA (small-world model based clustering algorithm), a new clustering algorithm for wireless sensor networks is proposed in this paper, with high clustering coefficient and fault-tolerant properties. SMCA selectively remove some links in a virtual way by the analysis of the edges' clustering coefficient...
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