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A wireless sensor network can be divided into several clusters. Each cluster has a number of sensors nodes and one of the nodes is elected as the coordinator. The coordinator is responsible for not only the general mission but also collecting the sensed data of other nodes and routing to the sink. Accordingly, the energy-consumption is higher than other nodes. Therefore, the coordinator selection...
In wireless sensor networks, it is an important task to periodically collect data from an area of interest for time-sensitive applications. The sensed data must be gathered and transmitted to a base station for further processing to meet the end-user queries. Since the network consists of low-cost nodes with limited battery power, it is a challenging task to design an efficient routing scheme that...
Traditional clustering algorithms for WSN (wireless sensor networks) select only one CH (cluster head) in each cluster, which consumes energy at the CH fast and shortens the network lifetime greatly. In this paper, EBCMS (energy-balanced clustering algorithm with master/slave method) is proposed to solve this problem. The key idea of the algorithm is that one master CH and two slave CHs are chosen...
Give a new arithmetic of variable round mechanism to reduce the cluster-heads' death in a round. We analyze the classical hierarchical clustering protocol LEACH, and discuss the existed routing protocols based on LEACH and present their problems. Finally we introduce a new a variable round mechanism. A simulation comparison is made between the traditional constant round and the variable round mechanism...
Due to the limited capacity of the sensors' batteries, energy is a critical resource in wireless sensors networks. Sleep mode operation is an effective approach to prolong the life time of the network. How to determine insomnious (wakeup) node is a critical component of this approach. There are a number of selection methodologies in the literature but all of them except randomized sleeping require...
The distribution of the sensor locations may be nonuniform under some terrain imposed physical constraints or different sensing quality requirements in different parts of a wireless sensor network. Given such a nonuniformly deployed sensor network, some bottleneck areas will form soon after the network becomes operational. Those areas will severely decrease the lifetime of the network. We propose...
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