Energy efficient collaborative proactive routing protocol for Wireless Sensor Network

Mohamed, Reem E.; Ghanem, Walid R.; Khalil, Ayman; Elhoseny, Mohamed; Sajjad, Muhammad; Mohamed, Mohamed A.

doi:10.1016/j.comnet.2018.06.010

Cited by 48 publications

(16 citation statements)

References 27 publications

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“…When L = 1500, the optimal jump count is in the range [22], [23], and when j = 22 or 23, the calculated jump distance is less than d 0 .…”

Section: B Optimal Hop Count and Distancementioning

confidence: 99%

“…Based on the related literature, the use of a 2CH extends the network lifetime. Then, Mohamed et al proposed factor-based LEACH (FLEACH) by investigating the 2CH impacts on the network at different CH energy levels and (or) the CH distance to the BS to achieve an optimal network lifetime [23]. Amodu and Mahmood proposed a new method using fuzzy clustering and particle swarm optimization to address the problem of a large number of network disconnects, i.e., when a number of sensors cannot connect to their cluster head and when a number of cluster heads cannot connect to the BS [24].…”

Section: Introductionmentioning

confidence: 99%

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Simulation Study on ASCMP Protocol in Utility Tunnel WSN

et al. 2019

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Utility tunnels are an important part of smart cities. This research focuses on the application of wireless sensors networks (WSNs) in utility tunnels. The utility tunnel space and Chinese utility tunnel building standard are considered in the design process. An adaptive subunit clustering multi-hop protocol (ASCMP) is proposed. In this protocol, some improvements are applied to increase the WSN's performance, such as cluster head (CH) election, network transmission, and node energy setting. Finally, ASCMP is compared with three other classic WSNs, namely, LEACH, SEP, and M-LEACH. Simulation results demonstrate that ASCMP's data transfer rate and lifetime increase by 71.76% and 200%, respectively, as shown by MATLAB 2012a simulations. INDEX TERMS Wireless sensor networks, multi-hop, routing protocol, information forwarding, utility tunnel, computer simulation.

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“…When L = 1500, the optimal jump count is in the range [22], [23], and when j = 22 or 23, the calculated jump distance is less than d 0 .…”

Section: B Optimal Hop Count and Distancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation Study on ASCMP Protocol in Utility Tunnel WSN

et al. 2019

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“…Load balancing and reliable information transfer are contributory factors in energy-efficient communications. Lack of load balancing causes the death of some nodes too early, which breaks the connectivity of WSN and reduces the life span of the WSN [7]. The lifespan is defined as the length of time interval until the first node goes flat [8].…”

Section: Introductionmentioning

confidence: 99%

Novel Reliable and Energy-Efficient Routing Protocols for Wireless Sensor Networks

Almazaideh

Levendovszky

2020

JSAN

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In this paper, novel energy-aware and reliable routing protocols are proposed. The aim is to maximize the lifespan of wireless sensor networks (WSNs) subject to predefined reliability constraints by using multi-hop routing schemes, in which the source node forwards the packet to the base station (BS) via other nodes as relays. In the first proposed protocol, energy efficiency is achieved by maximizing the minimum residual energy of the path subject to fulfilling a predefined reliability constraints. The second protocol is an optimized version of the first one with respect to lifespan and complexity. The optimal path is the one in which the residual energy distribution of the nodes along the path is as close to uniform as possible and the packet arrives at the base station with a given success probability. To measure the uniformity of the residual energy distribution, we use an entropy like measure. The information about the current energy state of the network is maintained by using a look-up-table from which the optimal routes are computed on the BS. The BS broadcasts the updated optimal paths to each node after each round of packet transmission.

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“…WSNs are characterized by a huge number of sensor nodes that randomly deployed in a wide sensing field [6], [7]. In practical applications, the amplitude of the nodes is limited because of the limitations in size and energy of the nodes [8]. Thus, the multi-hop has to be used to enhance the communication The associate editor coordinating the review of this manuscript and approving it for publication was Shah Nawaz Burokur .…”

Section: Introductionmentioning

confidence: 99%

JSSA: Joint Sidelobe Suppression Approach for Collaborative Beamforming in Wireless Sensor Networks

et al. 2019

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Conventional collaborative beamforming (CB) with virtual node antenna array often results in high maximum sidelobe level (SLL) due to the unexpected positions of the nodes. In this paper, a sidelobe suppression approach (JSSA) to suppress the maximum SLL by jointly optimizing the locations and amplitude weights of the nodes is proposed. JSSA organizes the node positions according to the concentric circular antenna array for location optimization. Then, a novel algorithm called variation particle chicken swarm optimization (VPCSO) is proposed to further optimize the amplitude weights of the selected CB nodes. The proposed VPCSO introduces the variation mechanism and location learning mechanism to enhance the performance of the conventional chicken swarm optimization algorithm. Simulations are conducted and the results show that the proposed location optimization approach is effective, and the maximum SLLs of beam patterns obtained by VPCSO are lower than that of other algorithms. Moreover, the energy consumption can be saved by VPCSO. In addition, electromagnetic (EM) simulations are conducted to verify the performance of the proposed JSSA in EM environments.

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Energy efficient collaborative proactive routing protocol for Wireless Sensor Network

Cited by 48 publications

References 27 publications

Simulation Study on ASCMP Protocol in Utility Tunnel WSN

Simulation Study on ASCMP Protocol in Utility Tunnel WSN

Novel Reliable and Energy-Efficient Routing Protocols for Wireless Sensor Networks

JSSA: Joint Sidelobe Suppression Approach for Collaborative Beamforming in Wireless Sensor Networks

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