- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
Wireless Sensor Network applications supporting diverse fields have gained a vital focus and interest from the researchers these days. WSN applications are designed to support scalable real time environment monitoring that depends on region of implication. The major challenges in WSN include energy optimization, routing, obstacle identification, security, etc. These constraints need prioritized optimization in fulfilling the requirements of the deployed environment. Many research approaches provide solutions for each of the influencing factors in WSN. We intend to survey the energy optimization techniques in WSN with distinct considerations. This paper focuses in surveying preceding optimization techniques under multiobjective perspective that results in tradeoffs. We exclude the familiar optimization approaches and analyze distinct metric specific optimizations based on link failure, load balancing and distance.
This paper surveys different energy optimization techniques with different constraints in WSNs. We discussed the existing approaches on energy conservation and optimization with link failure recovery, load balancing and distance routing. Our proposed approaches intend to minimize the tradeoffs in optimization when considering multi objective metrics. The last approach of our proposal addresses premature convergence providing an optimal solution that result in performance improvement in WSN.