WEP: An Energy Efficient Protocol for Cluster Based Heterogeneous Wireless Sensor Network

Rashed, Md. Golam; Kabir, M. Hasnat; Ullah, Shaikh Enayet

doi:10.5121/ijdps.2011.2205

Cited by 23 publications

(4 citation statements)

References 9 publications

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“…Scalability, Efficiency and the lifetime of a wireless sensor network can be improved by employing hierarchical routing. As observed here, sensors organize themselves into clusters and every cluster comprises of a cluster head [2]. The important role of cluster head is providing data communication between the sensor nodes and the base station in an efficient manner [3].…”

Section: Introductionmentioning

confidence: 93%

Hybrid Energy-Efficient Transmission Protocol for Heterogeneous Wireless Sensor Networks

Kavitha¹,

Caroline²

2016

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Heterogeneous Wireless Sensor Networks (WSNs) have different sensing ranges and computing power in the midst of various resource constraints such as limited battery power, reduced transmit power and network potential. This paper proposes new hybrid energy efficient transmission protocol called Hybrid Transmission Protocol (HTP). The proposed algorithm focuses on the issues of throughput dreadful conditions and limited power on mobile nodes due to conflicts in multi-cell wireless networks. The design principle of the proposed routing algorithm is to introduce a new border cluster between the sink nodes and the cluster-heads in order to lengthen the lifetime of the network nodes with minimized energy consumption to attain energy efficiency. The creation of clusters is done by making use of the sensor nodes formation that has a Cluster-Head (CH) used for performing the data aggregation in the sensor nodes of the cluster. Later the data that is aggregated is transmitted with multiple hops to the base station and in turn, this process leads to the reduction in the bandwidth through the elimination of the redundant data present in a cluster. The performance results indicate that the HTP proposed gained greater network lifetime, better performance and higher throughput compared to the other available algorithms.

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Section: Introductionmentioning

confidence: 93%

Hybrid Energy-Efficient Transmission Protocol for Heterogeneous Wireless Sensor Networks

Kavitha¹,

Caroline²

2016

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“…Thus, adjacent sensors are therefore able to record similar or identical information. Hence, the loss of a single or multiple node does not automatically diminish the quality of service of the network [10]. Based on the definition of network lifetime found in [15,16], we also evaluated the network lifetime with the following metrics: Half of the nodes dies (HND)-indicates an estimated value for the half-life period of a micro-sensor network; Last node dies (LND)-provides the overall lifetime of the WSNs.…”

Section: Simulation Metrics and Settingsmentioning

confidence: 99%

“…However, heterogeneous WSN are more realistic than homogeneous WSN especially in energy storage, as some nodes may have active sensing areas than others which is then reflected in the heterogeneity in energy storage [5]. A typical example of classical heterogeneous WSN includes stable election protocol (SEP) [9], weighted election protocols (WEP) [10].…”

Section: Introductionmentioning

confidence: 99%

EAGBRP: A Gateway Based Routing Protocol for Heterogeneous Wireless Sensor Networks

et al. 2021

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In most of the cluster-based routing protocols for wireless sensor networks (WSNs), cluster heads (CHs) are selected from the normal sensors which may expire rapidly due to fast energy diminution for such an additional workload. As a consequence, the network lifetime of such cluster-based routing protocol reduces drastically. To resolve these constraints, in this study, we proposed a gateway-based routing protocol-namely Energy-Aware Gateway Based Routing Protocol (EAGBRP) for WSNs. In our proposed protocol, the deployed sensor nodes of a WSN were divided into five logical regions based on their location in the sensing field. The base station (BS) was installed out of the sensing area, and two gateway nodes were inaugurated at two predefined regions of the sensing area. The CH in each region is independent of the other regions and selected based on a weighted election probability. We implemented our proposed routing protocol through simulations. To evaluate the performance of our EAGBRP, we simulated SEP, M-GEAR, and MGBEHA (4GW) protocols. The network lifetime, throughput, and residual energy parameters are utilized for performance analysis. It is revealed from the performance analysis results that WSNs with EAGBRP achieve maximum network lifetime and throughput over other considered protocols with minimum energy consumption.

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“…the death of all its nodes). So, the Lifetime is the total number of rounds from start to the end of network operation (Dietrich and Dressler, 2009;Maragdakis et al, 2004) • Stability Period: Is the time interval until the death of the first node (Rashed et al, 2011). In other words, number of rounds until the first node is dead.…”

Section: Performance Measuresmentioning

confidence: 99%

Load Balancing Technique Based on Broadcasting and Residual Energy Using Adaptive Clustering Hierarchy Protocol (LBEACH)

Alshra’a¹,

Samawi²

2015

Journal of Computer Science

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One of the important factors of Wireless Sensor Networks (WSNs) is sensors lifetime. Elongating sensors lifetime increases the benefits from the network capabilities as much as possible. To elongate WSNs lifetime, power consumption should be reduced. To do so, load balance technique is applied to distribute the energy consumption among cluster's nodes in the WSN. In each cluster, the node that acts as Cluster Head (CH) is the one that significantly suffers from power consumption problem. To elongate the WSNs lifetime, different sensor node is elected to act as CH for a period of time (round). Choosing the proper CH per round greatly affects the energy efficiency in the network. In this study, a new protocol for clustered heterogeneous WSNs (called LBEACH) is suggested to reduce power consumption and prolong the network lifetime. Distributed clustering methodology, with a novel algorithm to elect cluster heads in each round, is applied and tested. The elected CH is the node that has the minimal estimated broadcast cost and the highest residual energy. The estimated broadcast cost of each node is the estimated cost needed for sending a message to all other nodes within the same cluster and to the base-station. LBEACH performance is measured using network lifetime, power consumption and throughput. By comparing LBEACH performance with other protocols, Low Energy Adaptive Clustering Hierarchy (LEACH) and Stable Election Protocol (SEP) protocols, it was found that LBEACH shows a significant improvement in the network lifetime, power consumption and throughputs toward Base-Station (BS).

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WEP: An Energy Efficient Protocol for Cluster Based Heterogeneous Wireless Sensor Network

Abstract: ABSTRACT

Cited by 23 publications

References 9 publications

Hybrid Energy-Efficient Transmission Protocol for Heterogeneous Wireless Sensor Networks

Hybrid Energy-Efficient Transmission Protocol for Heterogeneous Wireless Sensor Networks

EAGBRP: A Gateway Based Routing Protocol for Heterogeneous Wireless Sensor Networks

Load Balancing Technique Based on Broadcasting and Residual Energy Using Adaptive Clustering Hierarchy Protocol (LBEACH)

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