“…Alnawafa and Marghescu [8] had further proposed another multi-hop technique (MHT-LEACH) that was proposed to improve LEACH performance. As opposed to forwarding the CH to the BS, there was the MHTLEACH which is employed to transmit the CH data to its BS on the basis of location and the distance.…”
Abstract: The Wireless Sensor Networks (WSNs) today is gaining plenty of attention due to its wide application range. The reduction of consumption of energy of their sensor nodes has been considered to be a crucial challenge for operating the WSNs in the long run. Low-Energy Adaptive Clustering Hierarchy (LEACH) which is an extremely popular technique which can form several clusters by means of employing a distributed algorithm. The Multi-Hop Low Energy Adaptive Clustering Hierarchy (MH-LEACH) has minimized the consumption of energy at the time of transmission of data among the Cluster Heads (CH) and Base Station (BS). The load is further reduced by multi-hop routing wherein packets are duplicated within the network to improve the efficiency of energy for the WSN. A heuristic method of local search is the Great Deluge Algorithm (GDA) which is employed for solving problems in optimization. In this work, a multi-hop LEACH along with the Great Deluge Algorithm that has been proposed for efficiency in clustering of the WSN. Index Terms: Great Deluge Algorithm (GDA), Low-Energy Adaptive Clustering Hierarchy (LEACH), Multi-Hop LEACH (MH-LEACH) and Wireless Sensor Networks (WSNs).
I. INTRODUCTIONThe Wireless Sensor Networks (WSNs) contains plenty of sensor nodes that can perform sensing, computing and also communication which is wireless. Such nodes are normally deployed densely within a region of interest that is applied to several other applications like monitoring the environment, industrial applications, habitat monitoring and military surveillance [1]. As there are wireless sensor nodes suffering from limitations of power, the design of large scale network has been posing various challenges. For the same reason, all the protocols proposed along with the sensor network algorithm have been focusing on utilising efficiently, the resources of sensor energy. With the exponential increase in the consumption of energy, and the distance of communication which is based on the model of energy consumption [2], which makes multi-hop communication extremely advantageous for the gathering of data and for saving of energy. Furthermore, hierarchical routing is also very helpful in the performance of network more so on the case of consumption of energy and scalability.Normally, any cluster network will employ, for every cluster, single-hop routing. One-hop clustering will be able to bring down consumption of energy for communication by means of forwarding the data of source nodes to the CH through the single hop. But, at the time there is an increase in
“…Alnawafa and Marghescu [8] had further proposed another multi-hop technique (MHT-LEACH) that was proposed to improve LEACH performance. As opposed to forwarding the CH to the BS, there was the MHTLEACH which is employed to transmit the CH data to its BS on the basis of location and the distance.…”
Abstract: The Wireless Sensor Networks (WSNs) today is gaining plenty of attention due to its wide application range. The reduction of consumption of energy of their sensor nodes has been considered to be a crucial challenge for operating the WSNs in the long run. Low-Energy Adaptive Clustering Hierarchy (LEACH) which is an extremely popular technique which can form several clusters by means of employing a distributed algorithm. The Multi-Hop Low Energy Adaptive Clustering Hierarchy (MH-LEACH) has minimized the consumption of energy at the time of transmission of data among the Cluster Heads (CH) and Base Station (BS). The load is further reduced by multi-hop routing wherein packets are duplicated within the network to improve the efficiency of energy for the WSN. A heuristic method of local search is the Great Deluge Algorithm (GDA) which is employed for solving problems in optimization. In this work, a multi-hop LEACH along with the Great Deluge Algorithm that has been proposed for efficiency in clustering of the WSN. Index Terms: Great Deluge Algorithm (GDA), Low-Energy Adaptive Clustering Hierarchy (LEACH), Multi-Hop LEACH (MH-LEACH) and Wireless Sensor Networks (WSNs).
I. INTRODUCTIONThe Wireless Sensor Networks (WSNs) contains plenty of sensor nodes that can perform sensing, computing and also communication which is wireless. Such nodes are normally deployed densely within a region of interest that is applied to several other applications like monitoring the environment, industrial applications, habitat monitoring and military surveillance [1]. As there are wireless sensor nodes suffering from limitations of power, the design of large scale network has been posing various challenges. For the same reason, all the protocols proposed along with the sensor network algorithm have been focusing on utilising efficiently, the resources of sensor energy. With the exponential increase in the consumption of energy, and the distance of communication which is based on the model of energy consumption [2], which makes multi-hop communication extremely advantageous for the gathering of data and for saving of energy. Furthermore, hierarchical routing is also very helpful in the performance of network more so on the case of consumption of energy and scalability.Normally, any cluster network will employ, for every cluster, single-hop routing. One-hop clustering will be able to bring down consumption of energy for communication by means of forwarding the data of source nodes to the CH through the single hop. But, at the time there is an increase in
“…This protocol takes into consideration the desired percentage of the nodes within the clusters, as well as it takes into account the residual energy of the nodes for electing the CHs and forming balanced clusters. For minimizing the transmissions distances over the network, the MHT-LEACH protocol was proposed in [ 11 ]. It splits all CHs into two levels.…”
Section: Related Workmentioning
confidence: 99%
“…The length of each level is d o /2. The IMHT-LEACH protocol is also considered as an improvement approach for the Multi-Hop LEACH (MHT-LEACH) protocol [ 11 ]. It supposes that the network lifetime is split into rounds and each round comprises of three primary phases: the initial phase, the announcement phase and the routing phase.…”
The performance of Wireless Sensor Networks (WSNs) faces a number of challenges. Of these challenges, energy consumption is considered a hot research area. Most WSN energy is used in transmitting the data from the sensor nodes either among each other or to a Base Station (BS). For this reason, many routing protocols have been developed to facilitate the data dissemination in the WSNs. One of these protocols, Low Energy Adaptive Clustering Hierarchy (LEACH) has provided a distinctive hierarchical approach that efficiently forwards the nodes data to the BS, but it suffers from increased energy consumption and a significant decline in the network performance in the case of large-scale networks. This paper aims to present a new approach for splitting the whole sensor network into several levels. Thus, every node will be acting accordingly on its position and status. Further, two techniques, a static one and a dynamic one, have been developed to route the data between the levels. The simulation results demonstrated that the proposed techniques prolong the lifespan, improve the stability and raise the throughput of the network compared with the LEACH, the Improved MHT-LEACH (IMHT-LEACH), and the Enhancing DMHT-LEACH (EDMHT-LEACH) protocols.
“…Several hierarchical routing protocols have been proposed for wireless sensor networks in the last few years [8,[11][12][13][14][15][16][17][18][19]. Many of them introduced a multi-hop inter-cluster communication approach to extend the network lifetime.…”
Section: Related Workmentioning
confidence: 99%
“…A multi-hop technique (MHT) for the improvement of LEACH was proposed by Alnawafi et al [14]. It distributes all the CHs of the network into two groups based on their distance from the BS: the internal group and the external group.…”
Wireless sensor networks (WSNs) are communication infrastructures containing a large number of spatially distributed nodes equipped with micro-sensors. These small devices are used to sense data from a specific region and to collaborate in order to collect and process them. Data are then transmitted to a base station. Although WSNs have existed for several decades, they are one of the key components of Internet of Things (IoT)-based products and services [1]. Indeed, they play a significant role in various future IoT application scenarios such as health care [2], environmental monitoring [3] and smart cities [4]. Comparing sensor networks to ad-hoc networks, the number of sensor nodes in a sensor network can be several orders of magnitude higher than the nodes in an ad-hoc network. Sensor nodes are densely deployed and they are limited in power, computational capacities
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