Article
drop, throughput, energy consumption, residual energy and network lifetime. The proposed scheme achieves better performance than the existing EEHA and SMART schemes.
M. Roseline Juliana,
S. Srinivasan
International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1748–1767
Article
or heuristic methods. Most of these routing approaches haven’t considered the impact of heterogeneity of sensor nodes, in terms of their energy which is equipped with additional energy resources. In this paper, we propose stable election using three fuzzy parameters approach (SEFP) using fuzzy logic system for heterogeneous WSNs. The main purpose of this routing approach is to improve the network lifetime and particularly the stability period of the network. In the SEFP approach, the sensor node
hassan EL ALAMI,
Abdellah NAJID
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2286–2306
Research paper
This paper presents the impact of utilizing a biased energy distribution (BED) scheme for clustering sensor networks. In clustering sensor networks, some of the nodes are elected as aggregators and they compress the data from their cluster members before sending the aggregated data to the sink. Existing clustering routing protocols assume that all the nodes are provided with equal amount of energy but this shortens the network lifetime and makes the network unstable. This paper proposes a
A. F. Salami,
H. Bello-Salau,
F. Anwar,
A. M. Aibinu
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 161–173
Research Article
In recent years, wireless sensor network (WSN) is a rapidly evolving technological platform with tremendous and novel applications. Many routing protocols have been specially designed for WSN because the sensor nodes are typically battery-power. To prolong the network lifetime, power management and energy-efficient routing techniques become necessary. In large scale wireless sensor networks, hierarchical routing has the advantage of providing scalable and resource efficient solutions. To find
Xiangyuan Yin,
Zhihao Ling,
Liping Guan
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 523–547
Research Article
The main objective of wireless sensor network design is to maximize network lifetime. The network topology, which is the important foundation of upper layer protocols, serves as the supportive groundwork for this goal. We constructed the model of sensor networks, and investigated the property of topology with complex network theory. Three statistical parameters were used to describe the network structure, and then some ideal characteristics were concluded for topology. The characteristics of
Linfeng Liu,
Jiagao Wu,
Fu Xiao,
Ruchuan Wang
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 58–76
Article
In-network data aggregation plays an important role on energy consumption from the point of reducing the amount of communication in cluster-based wireless sensor networks. The selection of cluster heads is usually based on two criteria which are the number of cluster heads network needed and the times of every node serving as the cluster head. Too much or too little cluster head number will shorten the network lifetime for the energy premature depletion of some sensor nodes, so it has a great
Mingxin Yang
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1935–1955
Article
of the active state nodes effectively, prolong the wireless sensor network lifetime. Theoretical analysis results show that this article nodes deployment algorithm achieves multi connected
Yin Zhouping
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 272–290
Article
Jiann-Liang Chen,
Yu-Ming Hsu,
I-Cheng Chang
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 515–539
Research Article
control, and finally topology optimization through object functions. Simulation results show that EL-BatCA not only balances energy consumption and network load, but also prolongs network lifetime and improves network throughout.
Wenyan Fu,
Deshi Li,
Jian chen,
Yanyan Han,
Jugen Nie
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 138–159
Article
working area of submarine and the frequency of target within system work a certain time. The simulation results show that the algorithm can guarantee higher detection probability, and reduce the energy consumption of network and prolong network lifetime.
ZHANG Ju-Wei,
WANG Yu,
Wang Ya-le
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2149–2166
Research Article
secure communication in distributed sensor networks. The primary security module provides online identity authentication services to new incoming sensor nodes which being distributed after initial deployment. The advanced security module addresses compromised node detection issues to exclude internal compromised nodes. The proposed schemes can accomplish secure communications in the sensor networks when the network lifetime is divided into multiple time intervals. The network security and network
Meng-Yen Hsieh,
Yueh-Min Huang
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 70–86
Article
Data Aggregation (DA) is one of the most frequently used techniques in Wireless Sensor Networks (WSNs) to improve the network lifetime. It involves gathering, consolidating, and routing the sensory data collected by sensor nodes. However, research studies have demonstrated that the dependability of the DA process affects severely when malicious nodes are present in the network. Many security solutions using cryptography and Intrusion Detection System (IDS) have been proposed in the literature
P. Raghu Vamsi,
Krishna Kant
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 537–562