The importance of energy efficient in wireless sensor networks

Mask, Ellon; Brown, S.H.; Lucky, Wood; Peter, Lorry

doi:10.21744/irjmis.v6n6.801

Cited by 2 publications

(3 citation statements)

References 21 publications

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“…Criminal sanctions must be adapted to the needs that have benefits for the community and the values of its manifestation. Criminal sanctions must also be able to foster self-awareness of perpetrators of defamation and humiliation so as to create a deterrent effect (Mask et al, 2019;Dewi & Dwiyanti, 2018).…”

Section: Resultsmentioning

confidence: 99%

Determination of confiscation of evidence of data in cyber crime

Dewi¹,

Satriana²

2022

ijssh

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The social order in the digital era is increasingly diverse through interaction and communication using high-tech devices. However, this often causes violations and disturbances to public order and harms others (cyber crime). Based on the background above, there is problem formulation in this research, namely what is the legal basis for determining data confiscation in cyber crime and what the mechanism for data confiscation in cybercrime is. The type of research used is normative, namely seeing and analyzing from the point of view of legislation and applicable norms, especially those related to the problems in this research. The result of discussion is that the legal basis for data confiscation in cyber crime is referring to Law no. 11 of 2008 concerning Information and Electronic Transactions (ITE). This law contains regulations regarding the management of information and electronic transactions at the national level, with the aim that information technology development can be carried out optimally, evenly, and spread to all levels of society in order to educate the nation's life, while the mechanism for confiscation of data in cyber crime begins with electronic data in the form of writing, images and sound or all three are intangible and cannot be seen/heard.

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Section: Resultsmentioning

confidence: 99%

Determination of confiscation of evidence of data in cyber crime

Dewi¹,

Satriana²

2022

ijssh

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“…58 This is the basic on-demand routing protocol used in NS2 for data collection. 59,60 The overall list of the simulation parameters is given in Table 6. The performance of the ORLP-RP approach is compared with four other algorithms, such as EAPC, 30 RDP, 48 MOPSO, 31 and NDCMC 33 schemes.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The Ad‐hoc On‐demand Distance Vector (AODV) basic routing protocol is used in simulation same as in Wagh and Bansode 58 . This is the basic on‐demand routing protocol used in NS2 for data collection 59,60 . The overall list of the simulation parameters is given in Table 6.…”

Section: Simulation Resultsmentioning

confidence: 99%

Identification of optimal location points for efficient data gathering in IoT environment

Wala

Chand

Sharma

2021

Int J Communication

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Recent development in sensor technologies encourages the adoption of mobile data collectors (MDCs), that is, vehicles or robots, to collect data in the Internet of Things (IoT) environment. However, the slow travel speed of the MDCs leads to significant delays in the transmission of data. This work proposes an optimal region location point based route planning (ORLP-RP) scheme to construct a shorter tour with minimized data delivery latency. Primary goal of the work is to distinguish the overlapped wireless sensor network (WSN) clusters and specify the overlapped regions to find optimal location points within each identified region to ensure one-hop data gathering from each cluster. Thereafter, MDC trajectory is formed by using the nearest-neighbor (NN) heuristic approach that generates a near optimal solution. In performance evaluation, the ORLP-RP scheme has been compared with the existing algorithms such as EAPC, RDP, MOPSO, and NDCMC for data collection in terms of the number of optimal location points, total path length, data gathering latency, network lifespan, energy consumption, and data gathering ratio. Simulation results demonstrate the effectiveness of the proposed approach by improving the number of optimal location points with an average up to 58%, total path length improvement by 17%, energy consumption and network lifespan improvement on average by 18% and 12%, data gathering ratio by the MDC up to 9%, and reducing the delay of the MDC path by 21% compared with considered approaches. Thus, simulation results indicate better performance of the proposed scheme at all the indices listed above.

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The importance of energy efficient in wireless sensor networks

Cited by 2 publications

References 21 publications

Determination of confiscation of evidence of data in cyber crime

Determination of confiscation of evidence of data in cyber crime

Identification of optimal location points for efficient data gathering in IoT environment

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