stdClass Object
(
    [id] => 16865
    [paper_index] => 202507-02-022933
    [title] => OPTIMIZING ENERGY ALLOCATION IN IOT CLUSTERS: A GAME-THEORETIC APPROACH TO COOPERATIVE AND NON-COOPERATIVE STRATEGIES
    [description] => 
    [author] => Bishwa Sagar, Dr. Ashish Kumar Jha, Dr. Mohit Kumar
    [googlescholar] => 
    [doi] => https://doi.org/10.36713/epra22933
    [year] => 2025
    [month] => June
    [volume] => 10
    [issue] => 6
    [file] => fm/jpanel/upload/2025/July/202507-02-022933.pdf
    [abstract] => This study investigates energy allocation strategies for Internet of Things (IoT) clusters powered by energy harvesting, addressing the challenge of equitable and efficient energy distribution among nodes. Employing a game-theoretic framework, we compare cooperative (Shapley value-based), non-cooperative (penalty-driven), proportional, and priority-based allocation methods across 30 variations of penalty (20–60%), top allocation percentage (30–70%), and allocation strictness (Strict vs. Permissive). A simulation with 10 nodes over 24 time steps evaluates fairness (Gini coefficient), efficiency, wastage, and unmet demand. Results indicate that cooperative, proportional, and priority methods achieve 0% unmet demand and 100% efficiency, with Gini coefficients ranging from 0.094 to 0.350. Non-cooperative Strict allocations exhibit higher unmet demand (0–50.1%) and lower efficiency (0.499–1.0), improving with higher top percentages and Permissive settings. The optimal variation (Penalty=30%, Top=70%, Permissive) balances fairness (Gini=0.125) and efficiency (1.0). Cooperative strategies are recommended for IoT deployments, with tuned non-cooperative methods as viable alternatives. Future work includes dynamic penalty adjustments, heterogeneous node models, and real-world validation. This research contributes to sustainable IoT systems by providing a robust framework for energy management.
    [keywords] => Iot, Energy Harvesting, Game Theory, Energy Allocation, Fairness, Efficiency
    [doj] => 2025-07-03
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 97
    [journal_id] => 2
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Research & Development (IJRD)
    [short_code] => IJSR
    [eissn] =>  2455-7838 (Online)
    [pissn] => - -
    [home_page_wrapper] => images/products_image/2-n.png
)
Error fetching PDF file.