دانلود رایگان مقاله انگلیسی الگوریتم بازدارنده حفره انرژی موثر انرژی (EEEHR) برای تاخیر تحمل شبکه حسگر بی سیم - اشپرینگر 2018

عنوان فارسی
الگوریتم بازدارنده حفره انرژی موثر انرژی (EEEHR) برای تاخیر تحمل شبکه حسگر بی سیم
عنوان انگلیسی
Energy Efficient Energy Hole Repelling (EEEHR) Algorithm for Delay Tolerant Wireless Sensor Network
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
15
سال انتشار
2018
نشریه
اشپرینگر - Springer
فرمت مقاله انگلیسی
PDF
کد محصول
E7342
رشته های مرتبط با این مقاله
مهندسی فناوری اطلاعات
گرایش های مرتبط با این مقاله
شبکه های کامپیوتری، اینترنت و شبکه های گسترده
مجله
ارتباطات شخصی بی سیم - Wireless Personal Communications
دانشگاه
Department of ECE - PSG Polytechnic College - Coimbatore - India
کلمات کلیدی
شبکه حسگر بی سیم (WSN)، گره سنسور (SN)، انرژی، کارآمدی، نقطه کانونی، حفره انرژی
چکیده

Abstract


Reducing energy consumption and increasing network lifetime are the major concerns in Wireless Sensor Network (WSN). Increase in network lifetime reduces the frequency of recharging and replacing batteries of the sensor node. The key factors influencing energy consumption are distance and number of bits transmitted inside the network. The problem of energy hole and hotspot inside the network make neighbouring nodes unusable even if the node is efficient for data transmission. Energy Efficient Energy Hole Repelling (EEEHR) routing algorithm is developed to solve the problem. Smaller clusters are formed near the sink and clusters of larger size are made with nodes far from the sink. This methodology promotes equal sharing of load repelling energy hole and hotspot issues. The opportunity of being a Cluster Head (CH) is given to a node with high residual energy, very low intra cluster distance in case of nodes far away from the sink and very low CH to sink distance for the nodes one hop from the sink. The proposed algorithm is compared with LEACH, LEACH-C and SEP routing protocol to prove its novel working. The proposed EEEHR routing algorithm provides improved lifetime, throughput and less packet drop. The proposed algorithm also reduces energy hole and hotspot problem in the network.

نتیجه گیری

5 Conclusion


Energy hole and hotspot inside the network creates additional load to the nodes making the hole larger. The problem is solved through proper clustering mechanism in the network. The proposed algorithm provides better clustering and repels the energy hole when compared to other LEACH, LEACH-C and SEP algorithm. The clustering mechanism is also with respect to the location of the sink. The proposed algorithm provides better lifetime and throughput to the network. The increase in the number of cluster near the sink also promotes reduced time delay making effective solution to the delay problem. The EEEHR algorithm serves to be a novel solution for the energy problem currently faced by the network.


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