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The BROGO algorithm has been recently presented for Leader Election in Wireless Sensor and IoT Networks, where after finding a spanning tree of a network, each leaf will route a message through its branch to the root in order to determine the leader in that branch. The root will then elect the global leader among the received branch leaders. The main drawback of this algorithm is a possible failure...
Energy of sensor nodes is scarce resource in wireless sensor network. It is vital to reduce energy consumption to improve lifetime of wireless sensor network. A proficient way to improve lifetime is to partition sensor network into groups called cluster with high energy node acting as leader of the cluster called cluster head. Cluster head is responsible for managing intra-cluster and inter cluster...
Specific to the heterogeneity of wireless sensor network, this paper studies the deployment method of heterogeneous WSN based on energy-balance in terms of the heterogeneous networks encompassing two types of nodes with different energy level. In detail, this paper established the network lifetime maximum model based upon energy heterogeneous nodes ratio and managed to solve the deployment proportion...
Since one single node in a wireless sensor network (WSN) is quite power-limited, many of existing researches focus on abating the redundancy of transmission to achieve the goal of energy saving. However, they are mostly highly dependent on physical networks and routing, which will result in the excessive rawness of data, the great imbalance of energy consumption among nodes and the poor scalability...
An energy-balanced multicast routing algorithm EBMR in wireless sensor networks (WSNs) is proposed. The objective of EMBR algorithm is to improve the energy efficiency and extend the network lifetime in multicast. To achieve this goal, the energy consumption model in WSNs is analyzed and an energy-constrained metric for multicast forwarder selecting is studied. Then the framework of EBMR algorithm...
An Energy-efficient Node Selection (ENS) mechanism has been proposed to improve the localization precision of target tracking with low computational complexity and energy consumption. The localization is based on wireless multimedia sensor network with cellular topology. The ENS mechanism utilizes the Global Node Selection algorithm in Energy-based acoustic source localization (GNSE) and the Closest...
An application scenario, the multi-users scenario in wireless sensor networks (WSNs), was defined in this article, where a large number of queries were generally sent from thousands of users in a large-scale monitored region and they would be a very heavy load for query processing. To deal with this multi-user scenario, the Network Event Report (NER) query processing method is proposed. With this...
Sensors in sensor networks are operated by their embedded batteries and they can not work any more if the batteries run out. The data collected by sensors should be transferred to a sink node through the efficient routes. Many energy efficient routing algorithms were proposed. However, the previous algorithms consume more energy since they did not consider the transmission range and direction. In...
The application of wireless sensor network (WSN) is always restricted by the energy shortage of sensor nodes. In order to reduce the entire energy consumption of the WSN, a promising approach is to design light clustering algorithms. LEACH is such a well-known clustering algorithm that was designed to distribute the energy consumption to nodes in the WSN evenly. LEACH is characterized by its attractive...
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