scholarly journals Energy-efficient spatially-adaptive clustering and routing in wireless sensor networks

2009 ◽  
Author(s):  
Hengyu Long ◽  
Yongpan Liu ◽  
Xiaoguang Fan ◽  
R.P. Dick ◽  
Huazhong Yang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Adaptive Clustering ◽  
Spatially Adaptive

Clustering in Wireless Sensor Networks

2012 ◽  
pp. 197-211
Author(s):  
Enamul Haque ◽  
Norihiko Yoshida
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Body Sensor Networks ◽  
Context Aware ◽  
Context Aware Computing ◽  
Adaptive Clustering ◽  
Clustering Data

Applications of Wireless Sensor Networks (WSN) have been expanded from industrial operation to daily common use. With the pace of development, a good number of state-of-the-art routing protocols have been proposed for WSN. Among many of these protocols, hierarchical or cluster-based protocol technique is adopted from the wired network because of its scalability, better manageability, and implicit energy efficiency. In this chapter, the authors have surveyed Low Energy Adaptive Clustering Hierarchy, Power-Efficient Gathering in Sensor Information Systems, Adaptive Periodic Threshold-Sensitive Energy Efficient Sensor Network, and Hybrid Energy-Efficient Distributed Routing Protocols. These protocols exhibit notable characteristics and advantages compared to their contemporaries. Again, context aware computing and applications have been greatly emphasized in recent articles by renowned technologists. This approach is considered as a momentous technology that will change the way of interaction with information devices. Accordingly, context aware clustering technique carries a great deal of importance among WSN routing protocols. Therefore, the authors have investigated noteworthy context aware routing protocols such as: Context Adaptive Clustering, Data-Aware Clustering Hierarchy, Context-Aware Clustering Hierarchy, and Context-Aware Multilayer Hierarchical Protocol. Their investigation and analysis of these protocols has been included in this chapter with useful remarks. Context awareness is considered an integral part of Body Sensor Networks (BSN), which is one kind of WSN. Thus, the authors have also discussed issues related to context aware techniques used in BSN.

scholarly journals Proficient Energy Efficient A2S Leach Technique in Wireless Sensor Networks

2020 ◽  
Vol 9 (5) ◽  
pp. 27-33
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Information Transmission ◽  
Energy Efficient ◽  
Low Energy ◽  
Wireless Sensor ◽  
Critical Test ◽  
Adaptive Clustering ◽  
Remote Sensor ◽  
The Ideal

In Wireless Sensor Networks (WSNs) lifetime of the system relies upon the vitality of the hubs, where vitality utilization is for the most part utilized for information transmission as opposed to detecting and preparing. A critical test in remote sensor systems is the ideal utilization of hub assets. Bunching of sensor hubs helps to utilize the hub vitality ideally and delay the lifetime of vitality compelled remote sensor arrange. Also, in WSN, the decision of steering convention assumes a significant job in using the vitality of hubs effectively. In this paper, another A2S LEACH (Active ↔Sleep - Low Energy Adaptive Clustering Hierarchy) directing strategy is proposed, which joins the two significant classes of various leveled conventions in particular bunch based methodology and chain based methodology. The proposed system is reproduced utilizing NS2 and the outcomes are examined. Reenactment results shows that the proposed A2S LEACH steering convention altogether diminishes vitality utilization and expands the all-out lifetime of the remote sensor organize when contrasted with the LEACH convention.

scholarly journals Secure Lightweight Routing Scheme for Energy Efficient Wireless Sensor Networks

2019 ◽  
Vol 8 (2) ◽  
pp. 57-68
Author(s):  
Yasser R. Alselehibi Yasser R. Alselehibi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Micro Electro Mechanical Systems ◽  
Adaptive Clustering ◽  
Leach Protocol ◽  
The Military ◽  
Hierarchical Protocols

The technology revolution in wireless communications and micro-electro-mechanical systems (MEMS) directly affects the development of wireless sensor networks (WSNs), which are used in several application areas, including the military, home, and environment. One of the best categories of routing networks in WSNs are hierarchical protocols (cluster-based). The wellknown protocols in this category include the Low Energy Adaptive Clustering Hierarchy (LEACH). However, the LEACH is vulnerable to many attacks. To provide cryptographic protection against outsider attacks, a modified version of LEACH, called Enhancing Secure LEACH (MS-LEACH) protocol, is used. MS-LEACH enhances security but increases power consumption. To maintain an acceptable level of security and decrease the power consumption of secure LEACH protocols, the present research proposes a Secure Lightweight LEACH (SLWLEACH) scheme. The simulation results show that this proposed SLW-LEACH protocol outperforms the MS-LEACH in terms of ne

scholarly journals Energy-Efficient Cluster-Head Selection for Wireless Sensor Networks Using Sampling-Based Spider Monkey Optimization

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5281 ◽  
Author(s):  
Jin-Gu Lee ◽  
Seyha Chim ◽  
Ho-Hyun Park
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Cluster Head ◽  
Spider Monkey ◽  
Wireless Sensor ◽  
Cluster Head Selection ◽  
Adaptive Clustering ◽  
Cluster Heads ◽  
Spider Monkey Optimization

Extending the lifetime and stability of wireless sensor networks (WSNs) through efficient energy consumption remains challenging. Though clustering has improved energy efficiency through cluster-head selection, its application is still complicated. In existing cluster-head selection methods, the locations where cluster-heads are desirable are first searched. Next, the nodes closest to these locations are selected as the cluster-heads. This location-based approach causes problems such as increased computation, poor selection accuracy, and the selection of duplicate nodes. To solve these problems, we propose the sampling-based spider monkey optimization (SMO) method. If the sampling population consists of nodes to select cluster-heads, the cluster-heads are selected among the nodes. Thus, the problems caused by different locations of nodes and cluster-heads are resolved. Consequently, we improve lifetime and stability of WSNs through sampling-based spider monkey optimization and energy-efficient cluster head selection (SSMOECHS). This study describes how the sampling method is used in basic SMO and how to select cluster-heads using sampling-based SMO. The experimental results are compared to similar protocols, namely low-energy adaptive clustering hierarchy centralized (LEACH-C), particle swarm optimization clustering protocol (PSO-C), and SMO based threshold-sensitive energy-efficient delay-aware routing protocol (SMOTECP), and the results are shown in both homogeneous and heterogeneous setups. In these setups, SSMOECHS improves network lifetime and stability periods by averages of 13.4%, 7.1%, 34.6%, and 1.8%, respectively.

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